Wed, 27 Aug 2025

Package usethis updated to version 3.2.0 with previous version 3.1.0 dated 2024-11-26

Title: Automate Package and Project Setup
Description: Automate package and project setup tasks that are otherwise performed manually. This includes setting up unit testing, test coverage, continuous integration, Git, 'GitHub', licenses, 'Rcpp', 'RStudio' projects, and more.
Author: Hadley Wickham [aut] , Jennifer Bryan [aut, cre] , Malcolm Barrett [aut] , Andy Teucher [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

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Package rcbayes updated to version 0.3.0 with previous version 0.2.0 dated 2022-01-17

Title: Estimate Rogers-Castro Migration Age Schedules with Bayesian Models
Description: A collection of functions to estimate Rogers-Castro migration age schedules using 'Stan'. This model which describes the fundamental relationship between migration and age in the form of a flexible multi-exponential migration model was most notably proposed in Rogers and Castro (1978) <doi:10.1068/a100475>.
Author: Jessie Yeung [aut, cre] , Monica Alexander [aut] , Tim Riffe [aut]
Maintainer: Jessie Yeung <jessieyeung1@gmail.com>

Diff between rcbayes versions 0.2.0 dated 2022-01-17 and 0.3.0 dated 2025-08-27

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Package ModStatR updated to version 1.4.0 with previous version 1.3.3 dated 2023-03-24

Title: Statistical Modelling in Action with R
Description: Datasets and functions for the book "Modélisation statistique par la pratique avec R", F. Bertrand, E. Claeys and M. Maumy-Bertrand (2019, ISBN:9782100793525, Dunod, Paris). The first chapter of the book is dedicated to an introduction to the R statistical software. The second chapter deals with correlation analysis: Pearson, Spearman and Kendall simple, multiple and partial correlation coefficients. New wrapper functions for permutation tests or bootstrap of matrices of correlation are provided with the package. The third chapter is dedicated to data exploration with factorial analyses (PCA, CA, MCA, MDA) and clustering. The fourth chapter is dedicated to regression analysis: fitting and model diagnostics are detailed. The exercises focus on covariance analysis, logistic regression, Poisson regression, two-way analysis of variance for fixed or random factors. Various example datasets are shipped with the package: for instance on pokemon, world of warcraft, house tasks or food nutritio [...truncated...]
Author: Frederic Bertrand [cre, aut] , Emmanuelle Claeys [aut], Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>

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Package geoTS updated to version 0.1.10 with previous version 0.1.8 dated 2022-11-17

Title: Methods for Handling and Analyzing Time Series of Satellite Images
Description: Provides functions and methods for: splitting large raster objects into smaller chunks, transferring images from a binary format into raster layers, transferring raster layers into an 'RData' file, calculating the maximum gap (amount of consecutive missing values) of a numeric vector, and fitting harmonic regression models to periodic time series. The homoscedastic harmonic regression model is based on G. Roerink, M. Menenti and W. Verhoef (2000) <doi:10.1080/014311600209814>.
Author: Inder Tecuapetla-Gomez [aut, cre]
Maintainer: Inder Tecuapetla-Gomez <itecuapetla@conabio.gob.mx>

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Package detourr updated to version 0.2.0 with previous version 0.1.0 dated 2022-06-20

Title: Portable and Performant Tour Animations
Description: Provides 2D and 3D tour animations as HTML widgets. The user can interact with the widgets using orbit controls, tooltips, brushing, and timeline controls. Linked brushing is supported using 'crosstalk', and widgets can be embedded in Shiny apps or HTML documents.
Author: Casper Hart [aut, cre], Earo Wang [aut, ths]
Maintainer: Casper Hart <casperhart93@gmail.com>

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Package RiskScorescvd updated to version 0.3.1 with previous version 0.2.0 dated 2024-06-27

Title: Cardiovascular Risk Scores Calculator
Description: A tool to calculate Cardiovascular Risk Scores in large data frames as published in Perez-Vicencio, et al (2024) <doi:10.1136/openhrt-2024-002755>. Cardiovascular risk scores are statistical tools used to assess an individual's likelihood of developing a cardiovascular disease based on various risk factors, such as age, gender, blood pressure, cholesterol levels, and smoking. Here we bring together the six most commonly used in the emergency department. Using 'RiskScorescvd', you can calculate all the risk scores in an extended dataset in seconds. PCE (ASCVD) described in Goff, et al (2013) <doi:10.1161/01.cir.0000437741.48606.98>. EDACS described in Mark DG, et al (2016) <doi:10.1016/j.jacc.2017.11.064>. GRACE described in Fox KA, et al (2006) <doi:10.1136/bmj.38985.646481.55>. HEART is described in Mahler SA, et al (2017) <doi:10.1016/j.clinbiochem.2017.01.003>. SCORE2/OP described in SCORE2 working group and ESC Cardiovascular risk collaboration (2021) [...truncated...]
Author: Daniel Perez-Vicencio [aut, cre] , Dimitrios Doudesis [aut], Alexander JF Thurston [aut], Jeremy Selva [aut]
Maintainer: Daniel Perez-Vicencio <dvicencio947@gmail.com>

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Package lacunr updated to version 1.0.2 with previous version 1.0.1 dated 2024-06-04

Title: Fast 3D Lacunarity for Voxel Data
Description: Calculates 3D lacunarity from voxel data. It is designed for use with point clouds generated from Light Detection And Ranging (LiDAR) scans in order to measure the spatial heterogeneity of 3-dimensional structures such as forest stands. It provides fast 'C++' functions to efficiently bin point cloud data into voxels and calculate lacunarity using different variants of the gliding-box algorithm originated by Allain & Cloitre (1991) <doi:10.1103/PhysRevA.44.3552>.
Author: Elliott Smeds [aut, cre, cph] , J. Antonio Guzman Q. [cph] function)
Maintainer: Elliott Smeds <elliott.alfred93@gmail.com>

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Package fluxtools updated to version 0.6.0 with previous version 0.5.0 dated 2025-08-21

Title: A 'shiny' App for Reproducible QA/QC of Eddy Covariance Data
Description: An interactive 'shiny'-based tool for exploration and quality assurance and quality control (QA/QC) of eddy covariance flux tower data processing. It generates data-point removal code via user-directed selection from a scatterplot, and can export a cleaned .csv with removed points set to NA plus an R script for reproducibility. Reference: Key (2025) <DOI:10.5281/zenodo.15597159>.
Author: Kesondra Key [aut, cre]
Maintainer: Kesondra Key <keyke@iu.edu>

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Package emmeans updated to version 1.11.2-8 with previous version 1.11.2 dated 2025-07-11

Title: Estimated Marginal Means, aka Least-Squares Means
Description: Obtain estimated marginal means (EMMs) for many linear, generalized linear, and mixed models. Compute contrasts or linear functions of EMMs, trends, and comparisons of slopes. Plots and other displays. Least-squares means are discussed, and the term "estimated marginal means" is suggested, in Searle, Speed, and Milliken (1980) Population marginal means in the linear model: An alternative to least squares means, The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
Author: Russell V. Lenth [aut, cre, cph], Balazs Banfai [ctb], Ben Bolker [ctb], Paul Buerkner [ctb], Iago Gine-Vazquez [ctb], Maxime Herve [ctb], Maarten Jung [ctb], Jonathon Love [ctb], Fernando Miguez [ctb], Julia Piaskowski [ctb], Hannes Riebl [ctb], Hen [...truncated...]
Maintainer: Russell V. Lenth <russell-lenth@uiowa.edu>

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Package CTxCC updated to version 0.4.0 with previous version 0.3.0 dated 2025-08-25

Title: Multivariate Normal Mean Monitoring Through Critical-to-X Control Chart
Description: A comprehensive set of functions designed for multivariate mean monitoring using the Critical-to-X Control Chart. These functions enable the determination of optimal control limits based on a specified in-control Average Run Length (ARL), the calculation of out-of-control ARL for a given control limit, and post-signal analysis to identify the specific variable responsible for a detected shift in the mean. This suite of tools provides robust support for precise and effective process monitoring and analysis.
Author: Burcu Aytacoglu [aut] , Diana Barraza-Barraza [aut, cre] , Victor G. Tercero-Gomez [aut] , A. Eduardo Cordero-Franco [aut]
Maintainer: Diana Barraza-Barraza <diana.barraza@ujed.mx>

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Package SeuratObject updated to version 5.2.0 with previous version 5.1.0 dated 2025-04-22

Title: Data Structures for Single Cell Data
Description: Defines S4 classes for single-cell genomic data and associated information, such as dimensionality reduction embeddings, nearest-neighbor graphs, and spatially-resolved coordinates. Provides data access methods and R-native hooks to ensure the Seurat object is familiar to other R users. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, and Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, Hao Y, Hao S, et al (2021) <doi:10.1016/j.cell.2021.04.048> and Hao Y, et al (2023) <doi:10.1101/2022.02.24.481684> for more details.
Author: Paul Hoffman [aut] , Rahul Satija [aut, cre] , David Collins [aut] , Yuhan Hao [aut] , Austin Hartman [aut] , Gesmira Molla [aut] , Andrew Butler [aut] , Tim Stuart [aut] , Madeline Kowalski [ctb] , Saket Choudhary [ctb] , Skylar Li [ctb], Longda Jia [...truncated...]
Maintainer: Rahul Satija <seurat@nygenome.org>

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Package BATSS updated to version 1.0.1 with previous version 1.0.0 dated 2024-10-02

Title: Bayesian Adaptive Trial Simulator Software (BATSS) for Generalised Linear Models
Description: Defines operating characteristics of Bayesian Adaptive Trials considering a generalised linear model response via Monte Carlo simulations of Bayesian GLM fitted via integrated Laplace approximations (INLA).
Author: Dominique-Laurent Couturier [aut, cre] , Liz Ryan [aut] , Rainer Puhr [aut], Thomas Jaki [aut] , Stephane Heritier [aut]
Maintainer: Dominique-Laurent Couturier <dominique.couturier@mrc-bsu.cam.ac.uk>

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Package ctsmTMB updated to version 1.0.1 with previous version 1.0.0 dated 2025-04-08

Title: Continuous Time Stochastic Modelling using Template Model Builder
Description: Perform state and parameter inference, and forecasting, in stochastic state-space systems using the 'ctsmTMB' class. This class, built with the 'R6' package, provides a user-friendly interface for defining and handling state-space models. Inference is based on maximum likelihood estimation, with derivatives efficiently computed through automatic differentiation enabled by the 'TMB'/'RTMB' packages (Kristensen et al., 2016) <doi:10.18637/jss.v070.i05>. The available inference methods include Kalman filters, in addition to a Laplace approximation-based smoothing method. For further details of these methods refer to the documentation of the 'CTSMR' package <https://ctsm.info/ctsmr-reference.pdf> and Thygesen (2025) <doi:10.48550/arXiv.2503.21358>. Forecasting capabilities include moment predictions and stochastic path simulations, both implemented in 'C++' using 'Rcpp' (Eddelbuettel et al., 2018) <doi:10.1080/00031305.2017.1375990> for computational efficiency.
Author: Phillip Vetter [aut, cre, cph], Jan Moeller [ctb], Uffe Thygesen [ctb], Peder Bacher [ctb], Henrik Madsen [ctb]
Maintainer: Phillip Vetter <pbrve@dtu.dk>

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Package SDMtune updated to version 1.3.3 with previous version 1.3.2 dated 2024-12-16

Title: Species Distribution Model Selection
Description: User-friendly framework that enables the training and the evaluation of species distribution models (SDMs). The package implements functions for data driven variable selection and model tuning and includes numerous utilities to display the results. All the functions used to select variables or to tune model hyperparameters have an interactive real-time chart displayed in the 'RStudio' viewer pane during their execution.
Author: Sergio Vignali [aut, cre] , Arnaud Barras [aut] , Veronika Braunisch [aut] , Conservation Biology - University of Bern [fnd]
Maintainer: Sergio Vignali <sdmtune@gmail.com>

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Package MFPCA updated to version 1.3-11 with previous version 1.3-10 dated 2022-09-15

Title: Multivariate Functional Principal Component Analysis for Data Observed on Different Dimensional Domains
Description: Calculate a multivariate functional principal component analysis for data observed on different dimensional domains. The estimation algorithm relies on univariate basis expansions for each element of the multivariate functional data (Happ & Greven, 2018) <doi:10.1080/01621459.2016.1273115>. Multivariate and univariate functional data objects are represented by S4 classes for this type of data implemented in the package 'funData'. For more details on the general concepts of both packages and a case study, see Happ-Kurz (2020) <doi:10.18637/jss.v093.i05>.
Author: Clara Happ-Kurz [aut, cre]
Maintainer: Clara Happ-Kurz <chk_R@gmx.de>

Diff between MFPCA versions 1.3-10 dated 2022-09-15 and 1.3-11 dated 2025-08-27

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Package midr updated to version 0.5.1 with previous version 0.5.0 dated 2025-06-23

Title: Learning from Black-Box Models by Maximum Interpretation Decomposition
Description: The goal of 'midr' is to provide a model-agnostic method for interpreting and explaining black-box predictive models by creating a globally interpretable surrogate model. The package implements 'Maximum Interpretation Decomposition' (MID), a functional decomposition technique that finds an optimal additive approximation of the original model. This approximation is achieved by minimizing the squared error between the predictions of the black-box model and the surrogate model. The theoretical foundations of MID are described in Iwasawa & Matsumori (2025) [Forthcoming], and the package itself is detailed in Asashiba et al. (2025) <doi:10.48550/arXiv.2506.08338>.
Author: Ryoichi Asasihba [aut, cre], Hirokazu Iwasawa [aut], Reiji Kozuma [ctb]
Maintainer: Ryoichi Asasihba <ryoichi.asashiba@gmail.com>

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Package carbonr updated to version 0.2.7 with previous version 0.2.1 dated 2024-10-16

Title: Calculate Carbon-Equivalent Emissions
Description: Provides a flexible tool for calculating carbon-equivalent emissions. Mostly using data from the UK Government's Greenhouse Gas Conversion Factors report <https://www.gov.uk/government/publications/greenhouse-gas-reporting-conversion-factors-2024>, it facilitates transparent emissions calculations for various sectors, including travel, accommodation, and clinical activities. The package is designed for easy integration into R workflows, with additional support for 'shiny' applications and community-driven extensions.
Author: Lily Clements [aut, cre]
Maintainer: Lily Clements <lily@idems.international>

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Package simDAG updated to version 0.4.0 with previous version 0.3.2 dated 2025-06-24

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 or any other function. Also includes a comprehensive framework for discrete-time simulation, and networks-based simulation which can generate even more complex longitudinal and dependent 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>

Diff between simDAG versions 0.3.2 dated 2025-06-24 and 0.4.0 dated 2025-08-27

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Package rstpm2 updated to version 1.7.0 with previous version 1.6.9 dated 2025-07-25

Title: Smooth Survival Models, Including Generalized Survival Models
Description: R implementation of generalized survival models (GSMs), smooth accelerated failure time (AFT) models and Markov multi-state models. For the GSMs, g(S(t|x))=eta(t,x) for a link function g, survival S at time t with covariates x and a linear predictor eta(t,x). The main assumption is that the time effect(s) are smooth <doi:10.1177/0962280216664760>. For fully parametric models with natural splines, this re-implements Stata's 'stpm2' function, which are flexible parametric survival models developed by Royston and colleagues. We have extended the parametric models to include any smooth parametric smoothers for time. We have also extended the model to include any smooth penalized smoothers from the 'mgcv' package, using penalized likelihood. These models include left truncation, right censoring, interval censoring, gamma frailties and normal random effects <doi:10.1002/sim.7451>, and copulas. For the smooth AFTs, S(t|x) = S_0(t*eta(t,x)), where the baseline survival function S_0 [...truncated...]
Author: Mark Clements [aut, cre], Xing-Rong Liu [aut], Benjamin Christoffersen [aut], Paul Lambert [ctb], Lasse Hjort Jakobsen [ctb], Alessandro Gasparini [ctb], Gordon Smyth [cph], Patrick Alken [cph], Simon Wood [cph], Rhys Ulerich [cph]
Maintainer: Mark Clements <mark.clements@ki.se>

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Package hdMTD updated to version 0.1.1 with previous version 0.1.0 dated 2025-04-24

Title: Inference for High-Dimensional Mixture Transition Distribution Models
Description: Estimates parameters in Mixture Transition Distribution (MTD) models, a class of high-order Markov chains. The set of relevant pasts (lags) is selected using either the Bayesian Information Criterion or the Forward Stepwise and Cut algorithms. Other model parameters (e.g. transition probabilities and oscillations) can be estimated via maximum likelihood estimation or the Expectation-Maximization algorithm. Additionally, 'hdMTD' includes a perfect sampling algorithm that generates samples of an MTD model from its invariant distribution. For theory, see Ost & Takahashi (2023) <http://jmlr.org/papers/v24/22-0266.html>.
Author: Maiara Gripp [aut, cre], Guilherme Ost [ths], Giulio Iacobelli [ths]
Maintainer: Maiara Gripp <maiara@dme.ufrj.br>

Diff between hdMTD versions 0.1.0 dated 2025-04-24 and 0.1.1 dated 2025-08-27

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Package conf updated to version 1.9.2 with previous version 1.9.1 dated 2024-05-05

Title: Visualization and Analysis of Statistical Measures of Confidence
Description: Enables: (1) plotting two-dimensional confidence regions, (2) coverage analysis of confidence region simulations, (3) calculating confidence intervals and the associated actual coverage for binomial proportions, (4) calculating the support values and the probability mass function of the Kaplan-Meier product-limit estimator, and (5) plotting the actual coverage function associated with a confidence interval for the survivor function from a randomly right-censored data set. Each is given in greater detail next. (1) Plots the two-dimensional confidence region for probability distribution parameters (supported distribution suffixes: cauchy, gamma, invgauss, logis, llogis, lnorm, norm, unif, weibull) corresponding to a user-given complete or right-censored dataset and level of significance. The crplot() algorithm plots more points in areas of greater curvature to ensure a smooth appearance throughout the confidence region boundary. An alternative heuristic plots a specified number of poin [...truncated...]
Author: Christopher Weld [aut, cre] , Kexin Feng [aut], Hayeon Park [aut], Yuxin Qin [aut], Xingyu Wang [aut], Heather Sasinowska [aut], Lawrence Leemis [aut], Yuan Chang [ctb], Brock Crook [ctb], Chris Kuebler [ctb], Andrew Loh [ctb], Xin Zhang [ctb]
Maintainer: Christopher Weld <ceweld241@gmail.com>

Diff between conf versions 1.9.1 dated 2024-05-05 and 1.9.2 dated 2025-08-27

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New package tidypopgen with initial version 0.3.2
Package: tidypopgen
Title: Tidy Population Genetics
Version: 0.3.2
Description: We provide a tidy grammar of population genetics, facilitating the manipulation and analysis of data on biallelic single nucleotide polymorphisms (SNPs). 'tidypopgen' scales to very large genetic datasets by storing genotypes on disk, and performing operations on them in chunks, without ever loading all data in memory. The full functionalities of the package are described in Carter et al. (2025) <doi:10.1101/2025.06.06.658325>.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-GB
URL: https://github.com/EvolEcolGroup/tidypopgen, https://evolecolgroup.github.io/tidypopgen/
BugReports: https://github.com/EvolEcolGroup/tidypopgen/issues
Depends: R (>= 3.5.0), dplyr, tibble
Imports: bigparallelr, bigsnpr, bigstatsr, foreach, generics, ggplot2, methods, MASS, patchwork, runner, rlang, sf, stats, tidyselect, tidyr, utils, Rcpp, UpSetR, vctrs
Suggests: adegenet, admixtools, broom, data.table, hierfstat, knitr, detectRUNS, LEA, RhpcBLASctl, rmarkdown, rnaturalearth, rnaturalearthdata, readr, reticulate, testthat (>= 3.0.0), vcfR, xgboost, spelling
Additional_repositories: https://evolecolgroup.r-universe.dev/
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo (>= 0.9.600), bigstatsr, rmio
LazyData: true
NeedsCompilation: yes
Packaged: 2025-08-22 14:24:42 UTC; andrea
Author: Evie Carter [aut], Eirlys Tysall [aut], Andrea Manica [aut, cre, cph] , Chang Christopher [ctb] ), Shaun Purcell [ctb] ), Bengtsson Henrik [ctb] )
Maintainer: Andrea Manica <am315@cam.ac.uk>
Repository: CRAN
Date/Publication: 2025-08-27 17:10:02 UTC

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New package multideploy with initial version 0.1.0
Package: multideploy
Title: Deploy File Changes Across Multiple 'GitHub' Repositories
Version: 0.1.0
Description: Deploy file changes across multiple 'GitHub' repositories using the 'GitHub' 'Web API' <https://docs.github.com/en/rest>. Allows synchronizing common files, Continuous Integration ('CI') workflows, or configurations across many repositories with a single command.
License: AGPL (>= 3)
URL: https://r-pkg.thecoatlessprofessor.com/multideploy/, https://github.com/coatless-rpkg/multideploy
BugReports: https://github.com/coatless-rpkg/multideploy/issues
Imports: gh (>= 1.3.0), base64enc, cli
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-22 15:40:57 UTC; ronin
Author: James Joseph Balamuta [aut, cre]
Maintainer: James Joseph Balamuta <james.balamuta@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 17:10:12 UTC

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Package treespace updated to version 1.1.4.4 with previous version 1.1.4.3 dated 2023-09-07

Title: Statistical Exploration of Landscapes of Phylogenetic Trees
Description: Tools for the exploration of distributions of phylogenetic trees. This package includes a 'shiny' interface which can be started from R using treespaceServer(). For further details see Jombart et al. (2017) <DOI:10.1111/1755-0998.12676>.
Author: Thibaut Jombart [aut] , Michelle Kendall [aut, cre] , Jacob Almagro-Garcia [aut] , Caroline Colijn [aut]
Maintainer: Michelle Kendall <michelle.kendall@ndm.ox.ac.uk>

Diff between treespace versions 1.1.4.3 dated 2023-09-07 and 1.1.4.4 dated 2025-08-27

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New package spatialreg.hp with initial version 0.0-1
Package: spatialreg.hp
Title: Hierarchical Partitioning of R2 for Spatial Simultaneous Autoregressive Model
Version: 0.0-1
Date: 2025-8-22
Depends: R (>= 3.4.0),spatialreg,ggplot2,vegan
Imports: spdep
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>
Description: Conducts hierarchical partitioning to calculate individual contributions of spatial and predictors (groups) towards total R2 for spatial simultaneous autoregressive model.
License: GPL
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-08-22 06:05:33 UTC; lai
Author: Jiangshan Lai [aut, cre]
Repository: CRAN
Date/Publication: 2025-08-27 16:30:07 UTC

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New package SampleSizeCalculator with initial version 0.1.0
Package: SampleSizeCalculator
Title: Sample Size Calculator under Complex Survey Design
Version: 0.1.0
Depends: R(>= 2.10)
Suggests: roxygen2, knitr, rmarkdown, testthat (>= 3.0.0)
Description: It helps in determination of sample size for estimating population mean or proportion under simple random sampling with or without replacement and stratified random sampling without replacement. When prior information on the population coefficient of variation (CV) is unavailable, then a preliminary sample is drawn to estimate the CV which is used to compute the final sample size. If the final size exceeds the preliminary sample size, then additional units are drawn; otherwise, the preliminary sample size is considered as final sample size. For stratified random sampling without replacement design, it also calculates the sample size in each stratum under different allocation methods for estimation of population mean and proportion based upon the availability of prior information on sizes of the strata, standard deviations of the strata and costs of drawing a sampling unit in the strata.For details on sampling methodology, see, Cochran (1977) "Sampling Techniques" <https://archive.or [...truncated...]
License: GPL (>= 2.0)
Encoding: UTF-8
Imports: stats, shiny, shinythemes, DT, bslib
NeedsCompilation: no
Packaged: 2025-08-22 09:34:14 UTC; Asus
Author: Nobin Chandra Paul [aut, cre, cph], Pradip Basak [aut, cph]
Maintainer: Nobin Chandra Paul <ncp375@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 16:40:08 UTC

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Package rlibkriging readmission to version 0.9-2.2 with previous version 0.9-2.1 dated 2025-07-23

Title: Kriging Models using the 'libKriging' Library
Description: Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, 'lbfgsb_cpp' is a 'C++' port around by Pascal Have of 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
Author: Yann Richet [aut, cre] , Pascal Have [aut], Yves Deville [aut], Conrad Sanderson [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb], Mike Smith [ctb]
Maintainer: Yann Richet <yann.richet@asnr.fr>

This is a re-admission after prior archival of version 0.9-2.1 dated 2025-07-23

Diff between rlibkriging versions 0.9-2.1 dated 2025-07-23 and 0.9-2.2 dated 2025-08-27

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Package Renext updated to version 3.1-5 with previous version 3.1-4 dated 2023-08-29

Title: Renewal Method for Extreme Values Extrapolation
Description: Peaks Over Threshold (POT) or 'methode du renouvellement'. The distribution for the excesses can be chosen, and heterogeneous data (including historical data or block data) can be used in a Maximum-Likelihood framework.
Author: Yves Deville [aut] , Bardet [aut], Nathan Bengaouer [cre]
Maintainer: Nathan Bengaouer <nathan.bengaouer@asnr.fr>

Diff between Renext versions 3.1-4 dated 2023-08-29 and 3.1-5 dated 2025-08-27

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New package rappleads with initial version 0.1.3
Package: rappleads
Title: Get Data from 'Apple Ads Campaign Management API'
Version: 0.1.3
Description: Provides functions to load and manage data from Apple Ads accounts using the 'Apple Ads Campaign Management API' <https://developer.apple.com/documentation/apple_ads>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, dplyr, httr2, openssl, pbapply, purrr, rappdirs, retry, snakecase, stringr, tidyr, yaml
Depends: R (>= 4.1.0)
URL: https://github.com/selesnow/rappleads
BugReports: https://github.com/selesnow/rappleads/issues
NeedsCompilation: no
Packaged: 2025-08-22 07:23:52 UTC; User
Author: Alexey Seleznev [aut, cre] , Netpeak [cph]
Maintainer: Alexey Seleznev <selesnow@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 16:30:12 UTC

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Package pam updated to version 1.0.6 with previous version 1.0.4 dated 2025-07-29

Title: Fast and Efficient Processing of PAM Data
Description: Processing Chlorophyll Fluorescence & P700 Absorbance data generated by WALZ hardware. Four models are provided for the regression of Pi curves, which can be compared with each other in order to select the most suitable model for the data set. Control plots ensure the successful verification of each regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and reliable further processing of the data.
Author: Julien Boehm [cre, aut] , Philipp Schrag [aut]
Maintainer: Julien Boehm <julien.boehm@uni-rostock.de>

Diff between pam versions 1.0.4 dated 2025-07-29 and 1.0.6 dated 2025-08-27

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New package NMAforest with initial version 0.1.0
Package: NMAforest
Title: Forest Plots for Network Meta-Analysis with Proportion for Paths and Studies
Version: 0.1.0
Description: Provides customized forest plots for network meta-analysis incorporating direct, indirect, and network meta-analysis effects. Includes visualizations of evidence contributions through proportion bars based on the hat matrix and evidence flow decomposition.
Imports: netmeta, meta, dplyr, magrittr, igraph, ggplot2, scales, grid, utils, tibble, stats, rlist
Encoding: UTF-8
LazyData: true
License: GPL-2
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-08-22 02:55:24 UTC; zyq
Author: Yanqi Zhang [aut, cre]
Maintainer: Yanqi Zhang <zyq1998@iastate.edu>
Repository: CRAN
Date/Publication: 2025-08-27 16:30:22 UTC

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Package genepop updated to version 1.2.11 with previous version 1.2.2 dated 2023-01-19

Title: Population Genetic Data Analysis Using Genepop
Description: Makes the Genepop software available in R. This software implements a mixture of traditional population genetic methods and some more focused developments: it computes exact tests for Hardy-Weinberg equilibrium, for population differentiation and for genotypic disequilibrium among pairs of loci; it computes estimates of F-statistics, null allele frequencies, allele size-based statistics for microsatellites, etc.; and it performs analyses of isolation by distance from pairwise comparisons of individuals or population samples.
Author: Francois Rousset [aut, cre, cph] , Jimmy Lopez [ctb], Alexandre Genin [ctb], Khalid Belkhir [ctb]
Maintainer: Francois Rousset <francois.rousset@umontpellier.fr>

Diff between genepop versions 1.2.2 dated 2023-01-19 and 1.2.11 dated 2025-08-27

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 genepop-1.2.11/genepop/NAMESPACE                                                                        |    3 
 genepop-1.2.11/genepop/R/Genepop.R                                                                      |    6 
 genepop-1.2.11/genepop/inst/CITATION                                                                    |   16 
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 genepop-1.2.11/genepop/inst/doc/genepop.bib                                                             |    2 
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 genepop-1.2.11/genepop/inst/genepop-shiny/pages/pages_def_optsMOAO.R                                    |    9 
 genepop-1.2.11/genepop/inst/make-exe/make_exe.bat                                                       |    2 
 genepop-1.2.11/genepop/man/GUI.Rd                                                                       |   28 
 genepop-1.2.11/genepop/src/F_est.cpp                                                                    |  542 +++++-----
 genepop-1.2.11/genepop/src/F_est.h                                                                      |    2 
 genepop-1.2.11/genepop/src/GenepopS.cpp                                                                 |    7 
 genepop-1.2.11/genepop/src/Makevars                                                                     |    2 
 genepop-1.2.11/genepop/src/Makevars.win                                                                 |    6 
 genepop-1.2.11/genepop/src/RGenepop.cpp                                                                 |   13 
 genepop-1.2.11/genepop/src/bootstrap.cpp                                                                |    4 
 genepop-1.2.11/genepop/src/genepop.cpp                                                                  |   57 -
 genepop-1.2.11/genepop/src/multimig.cpp                                                                 |   10 
 genepop-1.2.11/genepop/tests/test-all.R                                                                 |   22 
 genepop-1.2.11/genepop/tests/testthat/test_IBD.R                                                        |    6 
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Package evaluate updated to version 1.0.5 with previous version 1.0.4 dated 2025-06-18

Title: Parsing and Evaluation Tools that Provide More Details than the Default
Description: Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.
Author: Hadley Wickham [aut, cre], Yihui Xie [aut] , Michael Lawrence [ctb], Thomas Kluyver [ctb], Jeroen Ooms [ctb], Barret Schloerke [ctb], Adam Ryczkowski [ctb], Hiroaki Yutani [ctb], Michel Lang [ctb], Karolis Koncevicius [ctb], Posit Software, PBC [cph, [...truncated...]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between evaluate versions 1.0.4 dated 2025-06-18 and 1.0.5 dated 2025-08-27

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Package causal.decomp updated to version 0.2.0 with previous version 0.1.0 dated 2023-03-03

Title: Causal Decomposition Analysis
Description: We implement causal decomposition analysis using methods proposed by Park, Lee, and Qin (2022) and Park, Kang, and Lee (2023), which provide researchers with multiple-mediator imputation, single-mediator imputation, and product-of-coefficients regression approaches to estimate the initial disparity, disparity reduction, and disparity remaining (<doi:10.1177/00491241211067516>; <doi:10.1177/00811750231183711>). We also implement sensitivity analysis for causal decomposition using R-squared values as sensitivity parameters (Park, Kang, Lee, and Ma, 2023 <doi:10.1515/jci-2022-0031>). Finally, we include individualized causal decomposition and sensitivity analyses proposed by Park, Kang, and Lee (2025+) <doi:10.48550/arXiv.2506.19010>.
Author: Suyeon Kang [aut, cre], Soojin Park [aut], Karen Xu [ctb]
Maintainer: Suyeon Kang <suyeon.kang@ucf.edu>

Diff between causal.decomp versions 0.1.0 dated 2023-03-03 and 0.2.0 dated 2025-08-27

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New package allocation with initial version 0.1.0
Package: allocation
Title: Exact Optimal Allocation Algorithms for Stratified Sampling
Version: 0.1.0
Maintainer: Andrew M. Raim <andrew.raim@gmail.com>
Description: Implements several exact methods for allocating optimal sample sizes when designing stratified samples. These methods are discussed in Wright (2012) <doi:10.1080/00031305.2012.733679> and Wright (2017) <doi:10.1016/j.spl.2017.04.026>.
License: MIT + file LICENSE
Imports: Rmpfr
Encoding: UTF-8
VignetteBuilder: quarto
Suggests: quarto
NeedsCompilation: no
Packaged: 2025-08-22 08:54:19 UTC; araim
Author: Andrew M. Raim [aut, cre]
Repository: CRAN
Date/Publication: 2025-08-27 16:30:17 UTC

More information about allocation at CRAN
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New package AdapDiscom with initial version 1.0.0
Package: AdapDiscom
Title: Adaptive Sparse Regression for Block Missing Multimodal Data
Version: 1.0.0
Date: 2025-08-18
Description: Provides adaptive direct sparse regression for high-dimensional multimodal data with heterogeneous missing patterns and measurement errors. 'AdapDISCOM' extends the 'DISCOM' framework with modality-specific adaptive weighting to handle varying data structures and error magnitudes across blocks. The method supports flexible block configurations (any K blocks) and includes robust variants for heavy-tailed distributions ('AdapDISCOM'-Huber) and fast implementations for large-scale applications (Fast-'AdapDISCOM'). Designed for realistic multimodal scenarios where different data sources exhibit distinct missing data patterns and contamination levels. Diakité et al. (2025) <doi:10.48550/arXiv.2508.00120>.
License: GPL-3
URL: https://doi.org/10.48550/arXiv.2508.00120
BugReports: https://github.com/AODiakite/AdapDiscom/issues
Depends: R (>= 3.5.0)
Imports: softImpute, Matrix, scout, robustbase
Encoding: UTF-8
Suggests: knitr, rmarkdown, MASS
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-22 03:44:24 UTC; abdoul
Author: Diakite Abdoul Oudouss [aut, cre, cph], Barry Amadou [aut]
Maintainer: Diakite Abdoul Oudouss <abdouloudoussdiakite@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 16:30:27 UTC

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Package paleobioDB updated to version 1.0.1 with previous version 1.0.0 dated 2024-02-29

Title: Download and Process Data from the Paleobiology Database
Description: Includes functions to wrap most endpoints of the 'PaleobioDB' API and to visualize and process the obtained fossil data. The API documentation for the Paleobiology Database can be found at <https://paleobiodb.org/data1.2/>.
Author: Sara Varela [aut] , Javier Gonzalez Hernandez [aut], Luciano Fabris Sgarbi [aut] , Adrian Castro Insua [cre, ctb]
Maintainer: Adrian Castro Insua <adrian.castro.insua@uvigo.gal>

Diff between paleobioDB versions 1.0.0 dated 2024-02-29 and 1.0.1 dated 2025-08-27

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Package micemd updated to version 1.10.1 with previous version 1.10.0 dated 2023-11-17

Title: Multiple Imputation by Chained Equations with Multilevel Data
Description: Addons for the 'mice' package to perform multiple imputation using chained equations with two-level data. Includes imputation methods dedicated to sporadically and systematically missing values. Imputation of continuous, binary or count variables are available. Following the recommendations of Audigier, V. et al (2018) <doi:10.1214/18-STS646>, the choice of the imputation method for each variable can be facilitated by a default choice tuned according to the structure of the incomplete dataset. Allows parallel calculation and overimputation for 'mice'.
Author: Vincent Audigier [aut, cre] , Matthieu Resche-Rigon [aut] , Johanna Munoz Avila [ctb]
Maintainer: Vincent Audigier <vincent.audigier@cnam.fr>

Diff between micemd versions 1.10.0 dated 2023-11-17 and 1.10.1 dated 2025-08-27

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Package medfate updated to version 4.8.3 with previous version 4.8.1 dated 2025-04-23

Title: Mediterranean Forest Simulation
Description: Simulate Mediterranean forest functioning and dynamics using cohort-based description of vegetation [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>; De Caceres et al. (2021) <doi:10.1016/j.agrformet.2020.108233>].
Author: Miquel De Caceres [aut, cre, cph] , Nicolas Martin-StPaul [aut] , Victor Granda [aut] , Antoine Cabon [aut] , Arsene Druel [aut] , Julien Ruffault [aut] , Jordi Martinez-Vilalta [ctb] , Maurizio Mencuccini [ctb] , Francois Pimont [ctb] , Herve Cochar [...truncated...]
Maintainer: Miquel De Caceres <miquelcaceres@gmail.com>

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Package leaflet.extras2 updated to version 1.3.2 with previous version 1.3.1 dated 2025-03-05

Title: Extra Functionality for 'leaflet' Package
Description: Several 'leaflet' plugins are integrated, which are available as extension to the 'leaflet' package.
Author: Gatscha Sebastian [aut, cre], Ricardo Rodrigo Basa [ctb], Jeffrey O Hanson [ctb]
Maintainer: Gatscha Sebastian <sebastian_gatscha@gmx.at>

Diff between leaflet.extras2 versions 1.3.1 dated 2025-03-05 and 1.3.2 dated 2025-08-27

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Package gpboost updated to version 1.6.2 with previous version 1.6.1 dated 2025-07-23

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 1.6.1 dated 2025-07-23 and 1.6.2 dated 2025-08-27

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Package EvoPhylo updated to version 0.3.5 with previous version 0.3.2 dated 2022-11-03

Title: Pre- And Postprocessing of Morphological Data from Relaxed Clock Bayesian Phylogenetics
Description: Performs automated morphological character partitioning for phylogenetic analyses and analyze macroevolutionary parameter outputs from clock (time-calibrated) Bayesian inference analyses, following concepts introduced by Simões and Pierce (2021) <doi:10.1038/s41559-021-01532-x>.
Author: Tiago Simoes [cre, aut] , Noah Greifer [aut] , Joelle Barido-Sottani [aut] , Stephanie Pierce [aut]
Maintainer: Tiago Simoes <trsimoes87@gmail.com>

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Package cardx updated to version 0.3.0 with previous version 0.2.5 dated 2025-07-03

Title: Extra Analysis Results Data Utilities
Description: Create extra Analysis Results Data (ARD) summary objects. The package supplements the simple ARD functions from the 'cards' package, exporting functions to put statistical results in the ARD format. These objects are used and re-used to construct summary tables, visualizations, and written reports.
Author: Daniel D. Sjoberg [aut, cre] , Abinaya Yogasekaram [aut], Emily de la Rua [aut], Malcolm Barrett [ctb] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

Diff between cardx versions 0.2.5 dated 2025-07-03 and 0.3.0 dated 2025-08-27

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Package bda updated to version 19.0.0 with previous version 18.3.2 dated 2024-08-25

Title: Binned Data Analysis
Description: Algorithms developed for binned data analysis, gene expression data analysis and measurement error models for ordinal data analysis.
Author: Bin Wang [aut, cre]
Maintainer: Bin Wang <bwang831@gmail.com>

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Package stgam updated to version 1.1.0 with previous version 1.0.2 dated 2025-06-12

Title: Spatially and Temporally Varying Coefficient Models Using Generalized Additive Models
Description: A framework for specifying spatially, temporally and spatially-and-temporally varying coefficient models using Generalized Additive Models with smooths. The smooths are parameterised with location, time and predictor variables. The framework supports the investigation of the presence and nature of any space-time dependencies in the data by evaluating multiple model forms (specifications) using a Generalized Cross-Validation score. The workflow sequence is to: i) Prepare the data by lengthening it to have a single location and time variables for each observation. ii) Evaluate all possible spatial and/or temporal models in which each predictor is specified in different ways. iii) Evaluate each model and pick the best one. iv) Create the final model. v) Calculate the varying coefficient estimates to quantify how the relationships between the target and predictor variables vary over space, time or space-time. vi) Create maps, time series plots etc. For more details see: Comber et al (2023) [...truncated...]
Author: Lex Comber [aut, cre], Paul Harris [ctb], Chris Brunsdon [ctb]
Maintainer: Lex Comber <a.comber@leeds.ac.uk>

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Package marquee updated to version 1.1.1 with previous version 1.1.0 dated 2025-08-19

Title: Markdown Parser and Renderer for R Graphics
Description: Provides the mean to parse and render markdown text with grid along with facilities to define the styling of the text.
Author: Thomas Lin Pedersen [aut, cre] , Martin Mitas [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package goat readmission to version 1.1.3 with previous version 1.1.2 dated 2025-02-22

Title: Gene Set Analysis Using the Gene Set Ordinal Association Test
Description: Perform gene set enrichment analyses using the Gene set Ordinal Association Test (GOAT) algorithm and visualize your results. Koopmans, F. (2024) <doi:10.1038/s42003-024-06454-5>.
Author: Frank Koopmans [aut, cre]
Maintainer: Frank Koopmans <ftwkoopmans@gmail.com>

This is a re-admission after prior archival of version 1.1.2 dated 2025-02-22

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New package LCCkNN with initial version 0.1.0
Package: LCCkNN
Title: Adaptive k-Nearest Neighbor Classifier Based on Local Curvature Estimation
Version: 0.1.0
Description: Implements the kK-NN algorithm, an adaptive k-nearest neighbor classifier that adjusts the neighborhood size based on local data curvature. The method estimates local Gaussian curvature by approximating the shape operator of the data manifold. This approach aims to improve classification performance, particularly in datasets with limited samples.
License: MIT + file LICENSE
URL: https://github.com/Gabrielforest/LCCkNN
Encoding: UTF-8
Imports: FNN, caret, MLmetrics, stats, class
NeedsCompilation: no
Packaged: 2025-08-21 20:42:36 UTC; gabrielf
Author: Gabriel Pereira [aut, cre]
Maintainer: Gabriel Pereira <gabrielfreitaspereira10@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 12:10:02 UTC

More information about LCCkNN at CRAN
Permanent link

Package glossa readmission to version 1.2.3 with previous version 1.2.2 dated 2025-07-15

Title: User-Friendly 'shiny' App for Bayesian Species Distribution Models
Description: A user-friendly 'shiny' application for Bayesian machine learning analysis of marine species distributions. GLOSSA (Global Ocean Species Spatio-temporal Analysis) uses Bayesian Additive Regression Trees (BART; Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) to model species distributions with intuitive workflows for data upload, processing, model fitting, and result visualization. It supports presence-absence and presence-only data (with pseudo-absence generation), spatial thinning, cross-validation, and scenario-based projections. GLOSSA is designed to facilitate ecological research by providing easy-to-use tools for analyzing and visualizing marine species distributions across different spatial and temporal scales. Optionally, pseudo-absences can be generated within the environmental space using the external package 'flexsdm' (not on CRAN), which can be downloaded from <https://github.com/sjevelazco/flexsdm>; this functionality is used conditionally when a [...truncated...]
Author: Jorge Mestre-Tomas [aut, cre] , Alba Fuster-Alonso [aut]
Maintainer: Jorge Mestre-Tomas <jorge.mestre.tomas@csic.es>

This is a re-admission after prior archival of version 1.2.2 dated 2025-07-15

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Package capybara updated to version 1.8.0 with previous version 1.0.1 dated 2025-05-22

Title: Fast and Memory Efficient Fitting of Linear Models with High-Dimensional Fixed Effects
Description: Fast and user-friendly estimation of generalized linear models with multiple fixed effects and cluster the standard errors. The method to obtain the estimated fixed-effects coefficients is based on Stammann (2018) <doi:10.48550/arXiv.1707.01815>, Gaure (2013) <doi:10.1016/j.csda.2013.03.024>, Berge (2018) <https://ideas.repec.org/p/luc/wpaper/18-13.html>, and Correia et al. (2020) <doi: 10.1177/1536867X20909691>.
Author: Mauricio Vargas Sepulveda [aut, cre] , Yoto Yotov [ctb]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

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Package tidycomm readmission to version 0.4.2 with previous version 0.4.1 dated 2024-02-22

Title: Data Modification and Analysis for Communication Research
Description: Provides convenience functions for common data modification and analysis tasks in communication research. This includes functions for univariate and bivariate data analysis, index generation and reliability computation, and intercoder reliability tests. All functions follow the style and syntax of the tidyverse, and are construed to perform their computations on multiple variables at once. Functions for univariate and bivariate data analysis comprise summary statistics for continuous and categorical variables, as well as several tests of bivariate association including effect sizes. Functions for data modification comprise index generation and automated reliability analysis of index variables. Functions for intercoder reliability comprise tests of several intercoder reliability estimates, including simple and mean pairwise percent agreement, Krippendorff's Alpha (Krippendorff 2004, ISBN: 9780761915454), and various Kappa coefficients (Brennan & Prediger 1981 <doi: 10.1177/001316 [...truncated...]
Author: Julian Unkel [aut, cre] , Mario Haim [aut] , Lara Kobilke [aut]
Maintainer: Julian Unkel <julian.unkel@gmail.com>

This is a re-admission after prior archival of version 0.4.1 dated 2024-02-22

Diff between tidycomm versions 0.4.1 dated 2024-02-22 and 0.4.2 dated 2025-08-27

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More information about tidycomm at CRAN
Permanent link

New package sidra with initial version 0.1.7
Package: sidra
Title: Acesso aos Dados do 'SIDRA' do IBGE
Version: 0.1.7
Description: Functions for accessing and manipulating data from Brazilian Institute of Geography and Statistics (IBGE)'s API 'SIDRA' (acronym for IBGE System of Automatic Retrieval) from the new endpoints at <https://servicodados.ibge.gov.br/api/docs/agregados?versao=3>. Ferramentas para acessar e manipular dados via API do Sistema IBGE De Recuperação Automática 'SIDRA' do Instituto Brasileiro de Geografia e Estatística (IBGE).
License: GPL-3
Language: pt-BR
Encoding: UTF-8
LazyData: true
Imports: httr,data.table,tidyr,dplyr,jsonlite,tibble
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/rodrigoesborges/sidra
BugReports: https://github.com/rodrigoesborges/sidra/issues
NeedsCompilation: no
Packaged: 2025-08-21 20:16:32 UTC; borges
Author: Rodrigo Emmanuel Santana Borges [cre, aut, cph]
Maintainer: Rodrigo Emmanuel Santana Borges <rodrigo@borges.net.br>
Repository: CRAN
Date/Publication: 2025-08-27 12:00:09 UTC

More information about sidra at CRAN
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Package setwidth readmission to version 1.1.0 with previous version 1.0-4 dated 2015-07-07

Title: Automatically Set the Width Option on Terminal Emulators
Description: Automatically sets the value of options("width") when the terminal emulator is resized. The functions of this package only work if R is compiled for Unix systems and it is running interactively in a terminal emulator.
Author: Jakson Aquino [aut] , Dominique-Laurent Couturier [aut, cre]
Maintainer: Dominique-Laurent Couturier <dominique.couturier@mrc-bsu.cam.ac.uk>

This is a re-admission after prior archival of version 1.0-4 dated 2015-07-07

Diff between setwidth versions 1.0-4 dated 2015-07-07 and 1.1.0 dated 2025-08-27

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Permanent link

New package RCaucTile with initial version 1.0.0
Package: RCaucTile
Title: Tile Grid Maps for East Caucasian Languages
Version: 1.0.0
Description: Generates tile maps for the East Caucasian language family, inspired by the Typological Atlas of the Languages of Daghestan (TALD, <https://lingconlab.ru/tald/>). It leverages 'ggplot2' to create visually informative maps, displaying rectangles for each language and allowing for color-coding based on linguistic features. The package includes a built-in dataset of 56 languages and the template for their distribution and provides flexibility to customize the tile map's appearance. The default template can be modified via the ability to hide or rename languages. It's designed to be used with external data tables containing language information and features, offering a tool for visualizing the geographic distribution and linguistic characteristics of East Caucasian languages.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: ggplot2
NeedsCompilation: no
Packaged: 2025-08-18 15:35:20 UTC; agricolamz
Author: George Moroz [aut, cre]
Maintainer: George Moroz <agricolamz@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 12:00:24 UTC

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New package HARr with initial version 1.1.0
Package: HARr
Title: 'HAR' ('GEMPACK') File Read/Write Utility
Version: 1.1.0
Author: Maros Ivanic [aut, cre]
Description: HAR files are generated and consumed by 'GEMPACK' applications. This package reads/writes 'HAR' files (and 'SL4' files) directly using basic R functions.
License: CC0
Encoding: UTF-8
Imports: stringi
NeedsCompilation: no
Packaged: 2025-08-21 18:53:30 UTC; ivani
Maintainer: Maros Ivanic <ivanic@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 12:00:29 UTC

More information about HARr at CRAN
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New package firesale with initial version 0.1.0
Package: firesale
Title: Datastore for 'fiery' Web Servers
Version: 0.1.0
Description: Provides a persistent datastore for 'fiery' apps. The datastore is build on top of the 'storr' package and can thus be based on a variety of backends. The datastore contains both a global and session-scoped section.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, R6, reqres, rlang, storr
Suggests: fiery (>= 1.3.0), later, testthat (>= 3.0.0)
URL: https://github.com/thomasp85/firesale
BugReports: https://github.com/thomasp85/firesale/issues
NeedsCompilation: no
Packaged: 2025-08-21 11:33:24 UTC; thomas
Author: Thomas Lin Pedersen [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>
Repository: CRAN
Date/Publication: 2025-08-27 11:20:02 UTC

More information about firesale at CRAN
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Package fingerPro updated to version 2.0 with previous version 1.1 dated 2018-08-28

Title: A Comprehensive Package for Sediment Source Unmixing
Description: "This package quantifies the provenance of sediments in a catchment or study area. Based on a characterization of the sediment sources and the end sediment mixtures, a mixing model algorithm is applied to the sediment mixtures to estimate the relative contribution of each potential source. The package includes several graphs to help users in their data understanding, such as box plots, correlation, PCA, and LDA graphs. In addition, new developments such as the Consensus Ranking (CR), Consistent Tracer Selection (CTS), and Linear Variability Propagation (LVP) methods are included to correctly apply the fingerprinting technique and increase dataset and model understanding. A new method based on Conservative Balance (CB) method has also been included to enable the use of isotopic tracers."
Author: Borja Latorre [aut, cre], Ivan Lizaga [aut], Leticia Gaspar [aut], Leticia Palazon [aut], Ana Navas [aut], Vince Q Vu [ctb]
Maintainer: Borja Latorre <borja.latorre@csic.es>

Diff between fingerPro versions 1.1 dated 2018-08-28 and 2.0 dated 2025-08-27

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Package DendroSync updated to version 0.1.5 with previous version 0.1.4 dated 2022-05-26

Title: A Set of Tools for Calculating Spatial Synchrony Between Tree-Ring Chronologies
Description: Provides functions for the calculation and plotting of synchrony in tree growth from tree-ring width chronologies (TRW index). It combines variance-covariance (VCOV) mixed modelling with functions that quantify the degree to which the TRW chronologies contain a common temporal signal. It also implements temporal trends in spatial synchrony using a moving window. These methods can also be used with other kind of ecological variables that have temporal autocorrelation corrected.
Author: Josu G. Alday [aut, cre] , Tatiana A. Shestakova [aut] , Victor Resco de Dios [aut] , Jordi Voltas [aut]
Maintainer: Josu G. Alday <josucham@gmail.com>

Diff between DendroSync versions 0.1.4 dated 2022-05-26 and 0.1.5 dated 2025-08-27

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Package azuremapsr updated to version 0.0.2 with previous version 0.0.1 dated 2025-08-26

Title: Interface to the 'Azure Maps' API
Description: Provides a wrapper for the Microsoft 'Azure Maps' REST APIs <https://learn.microsoft.com/en-us/rest/api/maps/route?view=rest-maps-2025-01-01>, enabling users to access mapping and geospatial services directly from R. This package simplifies authenticating, building, and sending requests for services like route directions. It handles conversions between R objects (such as 'sf' objects) and the GeoJSON+JSON format required by the API, making it easier to integrate 'Azure Maps' into R-based data analysis workflows.
Author: Juan P. Fonseca-Zamora [aut, cre]
Maintainer: Juan P. Fonseca-Zamora <ts18jpf@leeds.ac.uk>

Diff between azuremapsr versions 0.0.1 dated 2025-08-26 and 0.0.2 dated 2025-08-27

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Package StratPal updated to version 0.6.0 with previous version 0.5.0 dated 2025-05-21

Title: Stratigraphic Paleobiology Modeling Pipelines
Description: The fossil record is a joint expression of ecological, taphonomic, evolutionary, and stratigraphic processes (Holland and Patzkowsky, 2012, ISBN:978-0226649382). This package allowing to simulate biological processes in the time domain (e.g., trait evolution, fossil abundance, phylogenetic trees), and examine how their expression in the rock record (stratigraphic domain) is influenced based on age-depth models, ecological niche models, and taphonomic effects. Functions simulating common processes used in modeling trait evolution, biostratigraphy or event type data such as first/last occurrences are provided and can be used standalone or as part of a pipeline. The package comes with example data sets and tutorials in several vignettes, which can be used as a template to set up one's own simulation.
Author: Niklas Hohmann [aut, cre]
Maintainer: Niklas Hohmann <N.H.Hohmann@uu.nl>

Diff between StratPal versions 0.5.0 dated 2025-05-21 and 0.6.0 dated 2025-08-27

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New package flankr with initial version 1.2.0
Package: flankr
Title: Implementing Computational Models of Attentional Selectivity
Version: 1.2.0
Description: A set of methods to simulate from and fit computational models of attentional selectivity. The package implements the dual-stage two-phase (DSTP) model of Hübner et al. (2010) <doi:10.1037/a0019471>, and the shrinking spotlight (SSP) model of White et al. (2011) <doi:10.1016/j.cogpsych.2011.08.001>.
Depends: R (>= 4.0)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: knitr, rmarkdown
License: GPL-3
LazyData: true
Encoding: UTF-8
URL: https://github.com/JimGrange/flankr
BugReports: https://github.com/JimGrange/flankr/issues
NeedsCompilation: yes
Packaged: 2025-08-21 08:45:07 UTC; jimgrange
Author: Jim Grange [aut, cre]
Maintainer: Jim Grange <grange.jim@gmail.com>
Repository: CRAN
Date/Publication: 2025-08-27 11:00:02 UTC

More information about flankr at CRAN
Permanent link

New package CLIC with initial version 0.1
Package: CLIC
Title: The LIC for Distributed Cosine Regression Analysis
Version: 0.1
Date: 2025-08-18
Description: This comprehensive framework for periodic time series modeling is designated as "CLIC" (The LIC for Distributed Cosine Regression Analysis) analysis. It is predicated on the assumption that the underlying data exhibits complex periodic structures beyond simple harmonic components. The philosophy of the method is articulated in Guo G. (2020) <doi:10.1080/02664763.2022.2053949>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, LaplacesDemon, fBasics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Author: Guangbao Guo [aut, cre] , Pengbo Kong [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Packaged: 2025-08-21 05:16:48 UTC; Kong Pengbo
Repository: CRAN
Date/Publication: 2025-08-27 11:00:08 UTC

More information about CLIC at CRAN
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Package tok readmission to version 0.2.0 with previous version 0.1.4 dated 2024-09-04

Title: Fast Text Tokenization
Description: Interfaces with the 'Hugging Face' tokenizers library to provide implementations of today's most used tokenizers such as the 'Byte-Pair Encoding' algorithm <https://huggingface.co/docs/tokenizers/index>. It's extremely fast for both training new vocabularies and tokenizing texts.
Author: Daniel Falbel [aut, cre], Regouby Christophe [ctb], Posit [cph]
Maintainer: Daniel Falbel <daniel@posit.co>

This is a re-admission after prior archival of version 0.1.4 dated 2024-09-04

Diff between tok versions 0.1.4 dated 2024-09-04 and 0.2.0 dated 2025-08-27

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Package rtop updated to version 0.6-17 with previous version 0.6-9 dated 2024-01-30

Title: Interpolation of Data with Variable Spatial Support
Description: Data with irregular spatial support, such as runoff related data or data from administrative units, can with 'rtop' be interpolated to locations without observations with the top-kriging method. A description of the package is given by Skøien et al (2014) <doi:10.1016/j.cageo.2014.02.009>.
Author: Jon Olav Skoeien [aut, cre], Qingyun Duan [ctb]
Maintainer: Jon Olav Skoeien <jon.skoien@gmail.com>

Diff between rtop versions 0.6-9 dated 2024-01-30 and 0.6-17 dated 2025-08-27

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Package reflectR updated to version 2.1.4 with previous version 2.1.3 dated 2024-05-15

Title: Automatic Scoring of the Cognitive Reflection Test
Description: Automatic coding of open-ended responses to the Cognitive Reflection Test (CRT), a widely used class of tests in cognitive science and psychology that assess the tendency to override an initial intuitive (but incorrect) answer and engage in reflection to reach a correct solution. The package standardizes CRT response coding across datasets in cognitive psychology, decision-making, and related fields. Automated coding reduces manual effort and improves reproducibility by limiting variability from subjective interpretation of open-ended responses. The package supports automatic coding and machine scoring for the original English-language CRT (Frederick, 2005) <doi:10.1257/089533005775196732>, CRT4 and CRT7 (Toplak et al., 2014) <doi:10.1080/13546783.2013.844729>, CRT-long (Primi et al., 2016) <doi:10.1002/bdm.1883>, and CRT-2 (Thomson & Oppenheimer, 2016) <doi:10.1017/s1930297500007622>.
Author: Giuseppe Corbelli [aut, cre]
Maintainer: Giuseppe Corbelli <giuseppe.corbelli@uninettunouniversity.net>

Diff between reflectR versions 2.1.3 dated 2024-05-15 and 2.1.4 dated 2025-08-27

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Package ggPMX updated to version 1.3.1 with previous version 1.3.0 dated 2025-07-16

Title: 'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME Models
Description: At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling activities in order to reduce the overall effort required for generating such plots. For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox, called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient for publication and submissions using few lines of code. This package focuses on plots recommended by ISoP <doi:10.1002/psp4.12161>. While not required, you can get/install the 'R' 'lixoftConnectors' package in the 'Monolix' installation, as described at the following url <https://monolixsuite.slp-software.com/r-functions/2024R1/installation-and-initialization>. When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to create the required Chart Data instead of exporting it from the 'Monolix' gui.
Author: Amine Gassem [aut], Bruno Bieth [aut], Irina Baltcheva [aut], Thomas Dumortier [aut], Christian Bartels [aut], Souvik Bhattacharya [aut], Inga Ludwig [aut], Ines Paule [aut], Didier Renard [aut], Matthew Fidler [aut] , Seid Hamzic [aut], Benjamin Gui [...truncated...]
Maintainer: Aleksandr Pogodaev <alex.pogodaev@novartis.com>

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Package workflows updated to version 1.3.0 with previous version 1.2.0 dated 2025-02-18

Title: Modeling Workflows
Description: Managing both a 'parsnip' model and a preprocessor, such as a model formula or recipe from 'recipes', can often be challenging. The goal of 'workflows' is to streamline this process by bundling the model alongside the preprocessor, all within the same object.
Author: Davis Vaughan [aut], Simon Couch [aut] , Hannah Frick [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah@posit.co>

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More information about workflows at CRAN
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Package UBStats updated to version 0.3.0 with previous version 0.2.2 dated 2024-08-26

Title: Basic Statistics
Description: Basic statistical analyses. The package has been developed to be used in statistics courses at Bocconi University (Milan, Italy). Currently, the package includes some exploratory and inferential analyses usually presented in introductory statistics courses.
Author: Raffaella Piccarreta [aut], Sergio Venturini [cre]
Maintainer: Sergio Venturini <sergio.venturini@unicatt.it>

Diff between UBStats versions 0.2.2 dated 2024-08-26 and 0.3.0 dated 2025-08-27

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Package readyomics updated to version 0.1.1 with previous version 0.1.0 dated 2025-08-20

Title: Ready-to-Use Omics Formatting, Analysis, and Visualization Pipeline
Description: Provides a flexible and streamlined pipeline for formatting, analyzing, and visualizing omics data, regardless of omics type (e.g. transcriptomics, proteomics, metabolomics). The package includes tools for shaping input data into analysis-ready structures, fitting linear or mixed-effect models, extracting key contrasts, and generating a rich variety of ready-to-use publication-quality plots. Designed for transparency and reproducibility across a wide range of study designs, with customizable components for statistical modeling.
Author: Laura Martinez-Gili [cre, aut, cph]
Maintainer: Laura Martinez-Gili <martinez.gili.laura@gmail.com>

Diff between readyomics versions 0.1.0 dated 2025-08-20 and 0.1.1 dated 2025-08-27

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Package LifemapR readmission to version 1.1.6 with previous version 1.1.5 dated 2025-03-06

Title: Data Visualisation on 'Lifemap' Tree
Description: Allow to visualise data on the NCBI phylogenetic tree as presented in Lifemap <https://lifemap.cnrs.fr/>. It takes as input a dataframe with at least a "taxid" column containing NCBI format TaxIds and allows to draw multiple layers with different visualisation tools.
Author: Cassandra Bompard [aut], Damien M. de Vienne [aut] , Julien Barnier [aut] , Aurelie Siberchicot [ctb, cre]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

This is a re-admission after prior archival of version 1.1.5 dated 2025-03-06

Diff between LifemapR versions 1.1.5 dated 2025-03-06 and 1.1.6 dated 2025-08-27

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Package later updated to version 1.4.4 with previous version 1.4.3 dated 2025-08-20

Title: Utilities for Scheduling Functions to Execute Later with Event Loops
Description: Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied. The functions are scheduled in an event loop.
Author: Winston Chang [aut], Joe Cheng [aut], Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Marcus Geelnard [ctb, cph] , Evan Nemerson [ctb, cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

Diff between later versions 1.4.3 dated 2025-08-20 and 1.4.4 dated 2025-08-27

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Package intamapInteractive readmission to version 1.2-7 with previous version 1.2-6 dated 2023-10-30

Title: Interactive Add-on Functionality for 'intamap'
Description: The methods in this package adds to the functionality of the 'intamap' package, such as bias correction and network optimization. Pebesma et al (2010) gives an overview of the methods behind and possible usage <doi:10.1016/j.cageo.2010.03.019>.
Author: Edzer Pebesma [aut], Jon Skoien [aut, cre], Olivier Baume [ctb], A Chorti [ctb], Dionisis Hristopulos [ctb], Stepahnie Melles [ctb], Giannis Spiliopoulos [ctb]
Maintainer: Jon Skoien <jon.skoien@gmail.com>

This is a re-admission after prior archival of version 1.2-6 dated 2023-10-30

Diff between intamapInteractive versions 1.2-6 dated 2023-10-30 and 1.2-7 dated 2025-08-27

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Package gofCopula readmission to version 0.4-3 with previous version 0.4-2 dated 2025-05-09

Title: Goodness-of-Fit Tests for Copulae
Description: Several Goodness-of-Fit (GoF) tests for Copulae are provided. A new hybrid test, Zhang et al. (2016) <doi:10.1016/j.jeconom.2016.02.017> is implemented which supports all of the individual tests in the package, e.g. Genest et al. (2009) <doi:10.1016/j.insmatheco.2007.10.005>. Estimation methods for the margins are provided and all the tests support parameter estimation and predefined values. The parameters are estimated by pseudo maximum likelihood but if it fails the estimation switches automatically to inversion of Kendall's tau. For reproducibility of results, the functions support the definition of seeds. Also all the tests support automatized parallelization of the bootstrapping tasks. The package provides an interface to perform new GoF tests by submitting the test statistic.
Author: Simon Trimborn [aut, cre], Ostap Okhrin [aut], Martin Waltz [aut]
Maintainer: Simon Trimborn <trimborn.econometrics@gmail.com>

This is a re-admission after prior archival of version 0.4-2 dated 2025-05-09

Diff between gofCopula versions 0.4-2 dated 2025-05-09 and 0.4-3 dated 2025-08-27

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Package ergm updated to version 4.10.1 with previous version 4.9.0.1 dated 2025-08-26

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks
Description: An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i03> and Krivitsky, Hunter, Morris, and Klumb (2023) <doi:10.18637/jss.v105.i06>.
Author: Mark S. Handcock [aut], David R. Hunter [aut], Carter T. Butts [aut], Steven M. Goodreau [aut], Pavel N. Krivitsky [aut, cre] , Martina Morris [aut], Li Wang [ctb], Kirk Li [ctb], Skye Bender-deMoll [ctb], Chad Klumb [ctb], Michal Bojanowski [ctb] , [...truncated...]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

Diff between ergm versions 4.9.0.1 dated 2025-08-26 and 4.10.1 dated 2025-08-27

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 R/ergm.bridge.R                                                          |   33 
 R/ergm.errors.R                                                          |    3 
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 R/ergm.logitreg.R                                                        |   28 
 R/ergm.mple.R                                                            |    8 
 R/ergm.pl.R                                                              |    6 
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 R/ergmMPLE.R                                                             |    2 
 R/ergm_model.R                                                           |    3 
 R/ergm_model.utils.R                                                     |    2 
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 R/rlebdm.R                                                               |    4 
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 R/to_ergm_Cdouble.R                                                      |    2 
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 man/macros/uid-algo.Rd                                                   |    2 
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More information about ergm at CRAN
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Package spatialCatalogueViewer updated to version 0.1.3 with previous version 0.1.2 dated 2025-08-26

Title: A 'Shiny' Tool to Create Interactive Catalogues for Geospatial Data
Description: Seamlessly create interactive online catalogues for geospatial data. Items can be mapped as points or areas and retrieved using either a map or a dynamic table with search form and optional column filters.
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

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Package rdracor readmission to version 1.0.5 with previous version 1.0.4 dated 2024-09-26

Title: Access to the 'DraCor' API
Description: Provide an interface for 'Drama Corpora Project' ('DraCor') API: <https://dracor.org/documentation/api>.
Author: Ivan Pozdniakov [aut, cre]
Maintainer: Ivan Pozdniakov <bucherr@yandex.ru>

This is a re-admission after prior archival of version 1.0.4 dated 2024-09-26

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Package RcppParallel updated to version 5.1.11-1 with previous version 5.1.11 dated 2025-08-27

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: JJ Allaire [aut], Romain Francois [aut, cph], Kevin Ushey [aut, cre], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] , Hamada S. Badr [ctb] , Posit, PBC [cph], Intel [aut, cph] , Microsoft [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package phyloTop updated to version 2.1.3 with previous version 2.1.2 dated 2023-01-24

Title: Calculating Topological Properties of Phylogenies
Description: Tools for calculating and viewing topological properties of phylogenetic trees.
Author: Michelle Kendall [aut, cre] , Michael Boyd [aut], Caroline Colijn [aut]
Maintainer: Michelle Kendall <michelle.kendall@ndm.ox.ac.uk>

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Package ParallelLogger updated to version 3.5.0 with previous version 3.4.2 dated 2025-06-05

Title: Support for Parallel Computation, Logging, and Function Automation
Description: Support for parallel computation with progress bar, and option to stop or proceed on errors. Also provides logging to console and disk, and the logging persists in the parallel threads. Additional functions support function call automation with delayed execution (e.g. for executing functions in parallel).
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package modsem updated to version 1.0.12 with previous version 1.0.11 dated 2025-07-22

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'modsem' it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8.3." Klein, A., & Moosb [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

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Package MigConnectivity updated to version 0.5.0 with previous version 0.4.7 dated 2024-03-26

Title: Estimate Migratory Connectivity for Migratory Animals
Description: Allows the user to estimate transition probabilities for migratory animals between any two phases of the annual cycle, using a variety of different data types. Also quantifies the strength of migratory connectivity (MC), a standardized metric to quantify the extent to which populations co-occur between two phases of the annual cycle. Includes functions to estimate MC and the more traditional metric of migratory connectivity strength (Mantel correlation) incorporating uncertainty from multiple sources of sampling error. For cross-species comparisons, methods are provided to estimate differences in migratory connectivity strength, incorporating uncertainty. See Cohen et al. (2018) <doi:10.1111/2041-210X.12916>, Cohen et al. (2019) <doi:10.1111/ecog.03974>, Roberts et al. (2023) <doi:10.1002/eap.2788>, and Hostetler et al. (2025) <doi:10.1111/2041-210X.14467> for details on some of these methods.
Author: Jeffrey A. Hostetler [cre, aut], Michael T. Hallworth [aut], Clark S. Rushing [ctb], Emily B. Cohen [ctb], Valentine Herrmann [ctb], Henry Stevens [ctb]
Maintainer: Jeffrey A. Hostetler <jhostetler@usgs.gov>

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Package forestecology readmission to version 0.2.1 with previous version 0.2.0 dated 2021-10-02

Title: Fitting and Assessing Neighborhood Models of the Effect of Interspecific Competition on the Growth of Trees
Description: Code for fitting and assessing models for the growth of trees. In particular for the Bayesian neighborhood competition linear regression model of Allen (2020): methods for model fitting and generating fitted/predicted values, evaluating the effect of competitor species identity using permutation tests, and evaluating model performance using spatial cross-validation.
Author: Albert Y. Kim [aut, cre] , David Allen [aut] , Simon Couch [aut]
Maintainer: Albert Y. Kim <albert.ys.kim@gmail.com>

This is a re-admission after prior archival of version 0.2.0 dated 2021-10-02

Diff between forestecology versions 0.2.0 dated 2021-10-02 and 0.2.1 dated 2025-08-27

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Package FastGaSP updated to version 0.6.2 with previous version 0.6.1 dated 2025-06-05

Title: Fast and Exact Computation of Gaussian Stochastic Process
Description: Implements fast and exact computation of Gaussian stochastic process with the Matern kernel using forward filtering and backward smoothing algorithm. It includes efficient implementations of the inverse Kalman filter, with applications such as estimating particle interaction functions. These tools support models with or without noise. Additionally, the package offers algorithms for fast parameter estimation in latent factor models, where the factor loading matrix is orthogonal, and latent processes are modeled by Gaussian processes. See the references: 1) Mengyang Gu and Yanxun Xu (2020), Journal of Computational and Graphical Statistics; 2) Xinyi Fang and Mengyang Gu (2024), <doi:10.48550/arXiv.2407.10089>; 3) Mengyang Gu and Weining Shen (2020), Journal of Machine Learning Research; 4) Yizi Lin, Xubo Liu, Paul Segall and Mengyang Gu (2025), <doi:10.48550/arXiv.2501.01324>.
Author: Mengyang Gu [aut, cre], Xinyi Fang [aut], Yizi Lin [aut]
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>

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Package easyNCDF updated to version 0.1.4 with previous version 0.1.3 dated 2025-06-04

Title: Tools to Easily Read/Write NetCDF Files into/from Multidimensional R Arrays
Description: Set of wrappers for the 'ncdf4' package to simplify and extend its reading/writing capabilities into/from multidimensional R arrays.
Author: BSC-CNS [aut, cph], Nicolau Manubens [aut], Nuria Perez-Zanon [ctb] , An-Chi Ho [ctb], Ariadna Batalla [cre], Victoria Agudetse [ctb]
Maintainer: Ariadna Batalla <ariadna.batalla@bsc.es>

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Package cards updated to version 0.7.0 with previous version 0.6.1 dated 2025-07-03

Title: Analysis Results Data
Description: Construct CDISC (Clinical Data Interchange Standards Consortium) compliant Analysis Results Data objects. These objects are used and re-used to construct summary tables, visualizations, and written reports. The package also exports utilities for working with these objects and creating new Analysis Results Data objects.
Author: Daniel D. Sjoberg [aut, cre] , Becca Krouse [aut], Emily de la Rua [aut] , Malan Bosman [aut] , F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithKline Research & Development Limited [cph]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

Diff between cards versions 0.6.1 dated 2025-07-03 and 0.7.0 dated 2025-08-27

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Package divent updated to version 0.5-3 with previous version 0.5-2 dated 2025-02-09

Title: Entropy Partitioning to Measure Diversity
Description: Measurement and partitioning of diversity, based on Tsallis entropy, following Marcon and Herault (2015) <doi:10.18637/jss.v067.i08>. 'divent' provides functions to estimate alpha, beta and gamma diversity of communities, including phylogenetic and functional diversity.
Author: Eric Marcon [aut, cre] , Florence Puech [aut]
Maintainer: Eric Marcon <eric.marcon@agroparistech.fr>

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Package RcppParallel updated to version 5.1.11 with previous version 5.1.10 dated 2025-01-23

Title: Parallel Programming Tools for 'Rcpp'
Description: High level functions for parallel programming with 'Rcpp'. For example, the 'parallelFor()' function can be used to convert the work of a standard serial "for" loop into a parallel one and the 'parallelReduce()' function can be used for accumulating aggregate or other values.
Author: JJ Allaire [aut], Romain Francois [aut, cph], Kevin Ushey [aut, cre], Gregory Vandenbrouck [aut], Marcus Geelnard [aut, cph] , Hamada S. Badr [ctb] , Posit, PBC [cph], Intel [aut, cph] , Microsoft [cph]
Maintainer: Kevin Ushey <kevin@rstudio.com>

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Package ggridges updated to version 0.5.7 with previous version 0.5.6 dated 2024-01-23

Title: Ridgeline Plots in 'ggplot2'
Description: Ridgeline plots provide a convenient way of visualizing changes in distributions over time or space. This package enables the creation of such plots in 'ggplot2'.
Author: Claus O. Wilke [aut, cre]
Maintainer: Claus O. Wilke <wilke@austin.utexas.edu>

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 ggridges-0.5.7/ggridges/man/stat_density_ridges.Rd                |   12 
 ggridges-0.5.7/ggridges/tests/testthat/Rplots.pdf                 |only
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 ggridges-0.5.7/ggridges/tests/testthat/test_geom_gradient.R       |    4 
 ggridges-0.5.7/ggridges/tests/testthat/test_scale_cyclical.R      |    2 
 ggridges-0.5.7/ggridges/tests/testthat/test_stat_density_ridges.R |   20 
 ggridges-0.5.7/ggridges/vignettes/gallery.Rmd                     |    6 
 ggridges-0.5.7/ggridges/vignettes/introduction.Rmd                |   14 
 39 files changed, 518 insertions(+), 402 deletions(-)

More information about ggridges at CRAN
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Package ggpattern updated to version 1.2.1 with previous version 1.1.4 dated 2025-01-28

Title: 'ggplot2' Pattern Geoms
Description: Provides 'ggplot2' geoms filled with various patterns. Includes a patterned version of every 'ggplot2' geom that has a region that can be filled with a pattern. Provides a suite of 'ggplot2' aesthetics and scales for controlling pattern appearances. Supports over a dozen builtin patterns (every pattern implemented by 'gridpattern') as well as allowing custom user-defined patterns.
Author: Mike FC [aut], Trevor L. Davis [aut, cre] , ggplot2 authors [aut]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

Diff between ggpattern versions 1.1.4 dated 2025-01-28 and 1.2.1 dated 2025-08-27

 DESCRIPTION                    |   11 ++++-----
 MD5                            |   24 +++++++++----------
 NEWS.md                        |   12 +++++++++
 R/geom-sf.R                    |    2 -
 R/scale-pattern-auto.R         |   48 +++++++++++++++++++--------------------
 README.md                      |    6 +++-
 build/vignette.rds             |binary
 inst/doc/patterns-noise.html   |    8 +++---
 inst/doc/patterns-stripes.R    |   36 +++++++++++++++--------------
 inst/doc/patterns-stripes.Rmd  |   50 +++++++++++++++++++++--------------------
 inst/doc/patterns-stripes.html |   50 ++++++++++++++++++++---------------------
 man/scale_continuous.Rd        |   28 +++++++++++++---------
 vignettes/patterns-stripes.Rmd |   50 +++++++++++++++++++++--------------------
 13 files changed, 175 insertions(+), 150 deletions(-)

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Package feasts updated to version 0.4.2 with previous version 0.4.1 dated 2024-09-25

Title: Feature Extraction and Statistics for Time Series
Description: Provides a collection of features, decomposition methods, statistical summaries and graphics functions for the analysing tidy time series data. The package name 'feasts' is an acronym comprising of its key features: Feature Extraction And Statistics for Time Series.
Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Di Cook [ctb], Thiyanga Talagala [ctb] , Leanne Chhay [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between feasts versions 0.4.1 dated 2024-09-25 and 0.4.2 dated 2025-08-27

 feasts-0.4.1/feasts/R/gg_geom.R               |only
 feasts-0.4.1/feasts/tests/testthat/Rplots.pdf |only
 feasts-0.4.2/feasts/DESCRIPTION               |    8 +-
 feasts-0.4.2/feasts/MD5                       |   42 ++++++-------
 feasts-0.4.2/feasts/NAMESPACE                 |    9 ++
 feasts-0.4.2/feasts/NEWS.md                   |   18 +++++
 feasts-0.4.2/feasts/R/acf.R                   |   15 ++++
 feasts-0.4.2/feasts/R/features.R              |    1 
 feasts-0.4.2/feasts/R/graphics.R              |   80 +++++++++++++++++++++++++-
 feasts-0.4.2/feasts/R/guerrero.R              |    2 
 feasts-0.4.2/feasts/R/utils.R                 |    5 +
 feasts-0.4.2/feasts/R/x13arimaseats.R         |    4 -
 feasts-0.4.2/feasts/build/vignette.rds        |binary
 feasts-0.4.2/feasts/inst/doc/feasts.html      |   69 +++++++++++++---------
 feasts-0.4.2/feasts/man/X_13ARIMA_SEATS.Rd    |    4 -
 feasts-0.4.2/feasts/man/autoplot.tbl_cf.Rd    |    7 ++
 feasts-0.4.2/feasts/man/gg_arma.Rd            |    8 +-
 feasts-0.4.2/feasts/man/gg_irf.Rd             |    4 +
 feasts-0.4.2/feasts/man/gg_lag.Rd             |    5 +
 feasts-0.4.2/feasts/man/gg_season.Rd          |    5 +
 feasts-0.4.2/feasts/man/gg_subseries.Rd       |    8 +-
 feasts-0.4.2/feasts/man/gg_tsdisplay.Rd       |    5 +
 feasts-0.4.2/feasts/man/gg_tsresiduals.Rd     |   12 +++
 23 files changed, 240 insertions(+), 71 deletions(-)

More information about feasts at CRAN
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