Tue, 23 Sep 2025

Package BEND updated to version 1.1 with previous version 1.0 dated 2024-03-23

Title: Bayesian Estimation of Nonlinear Data (BEND)
Description: Provides a set of models to estimate nonlinear longitudinal data using Bayesian estimation methods. These models include the: 1) Bayesian Piecewise Random Effects Model (Bayes_PREM()) which estimates a piecewise random effects (mixture) model for a given number of latent classes and a latent number of possible changepoints in each class, and can incorporate class and outcome predictive covariates (see Lamm (2022) <https://hdl.handle.net/11299/252533> and Lock et al., (2018) <doi:10.1007/s11336-017-9594-5>), 2) Bayesian Crossed Random Effects Model (Bayes_CREM()) which estimates a linear, quadratic, exponential, or piecewise crossed random effects models where individuals are changing groups over time (e.g., students and schools; see Rohloff et al., (2024) <doi:10.1111/bmsp.12334>), and 3) Bayesian Bivariate Piecewise Random Effects Model (Bayes_BPREM()) which estimates a bivariate piecewise random effects model to jointly model two related outcomes (e.g., reading and [...truncated...]
Author: Corissa T. Rohloff [aut, cre] , Rik Lamm [aut] , Yadira Peralta [aut] , Nidhi Kohli [aut] , Eric F. Lock [aut]
Maintainer: Corissa T. Rohloff <corissa.wurth@gmail.com>

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Package scDHA readmission to version 1.2.3 with previous version 1.2.2 dated 2024-04-02

Title: Single-Cell Decomposition using Hierarchical Autoencoder
Description: Provides a fast and accurate pipeline for single-cell analyses. The 'scDHA' software package can perform clustering, dimension reduction and visualization, classification, and time-trajectory inference on single-cell data (Tran et.al. (2021) <DOI:10.1038/s41467-021-21312-2>).
Author: Ha Nguyen [cre], Duc Tran [aut], Tin Nguyen [fnd], Hao Chen [ctb]
Maintainer: Ha Nguyen <hvn0006@auburn.edu>

This is a re-admission after prior archival of version 1.2.2 dated 2024-04-02

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Package nparACT readmission to version 0.9.0 with previous version 0.8 dated 2017-12-20

Title: Non-Parametric Measures of Actigraphy Data
Description: Computes interdaily stability (IS), intradaily variability (IV) & the relative amplitude (RA) from actigraphy data as described in Blume et al. (2016) <doi: 10.1016/j.mex.2016.05.006> and van Someren et al. (1999) <doi: 10.3109/07420529908998724>. Additionally, it also computes L5 (i.e. the 5 hours with lowest average actigraphy amplitude) and M10 (the 10 hours with highest average amplitude) as well as the respective start times. The flex versions will also compute the L-value for a user-defined number of minutes. IS describes the strength of coupling of a rhythm to supposedly stable zeitgebers. It varies between 0 (Gaussian Noise) and 1 for perfect IS. IV describes the fragmentation of a rhythm, i.e. the frequency and extent of transitions between rest and activity. It is near 0 for a perfect sine wave, about 2 for Gaussian noise and may be even higher when a definite ultradian period of about 2 hrs is present. RA is the relative amplitude of a rhythm. Note that to ob [...truncated...]
Author: Christine Blume [aut, cre]
Maintainer: Christine Blume <christine.blume@unibas.ch>

This is a re-admission after prior archival of version 0.8 dated 2017-12-20

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Package NADA2 readmission to version 2.0.0 with previous version 1.1.8 dated 2024-09-06

Title: Data Analysis for Censored Environmental Data
Description: Contains methods described by Dennis Helsel in his book "Statistics for Censored Environmental Data using Minitab and R" (2011) and courses and videos at <https://practicalstats.com>. This package incorporates functions of NADA and adds new functionality.
Author: Paul Julian [aut, cre], Dennis Helsel [aut, cph], Lopaka Lee [aut, cph]
Maintainer: Paul Julian <pauljulianphd@gmail.com>

This is a re-admission after prior archival of version 1.1.8 dated 2024-09-06

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Package hyperoverlap updated to version 1.1.3 with previous version 1.1.1 dated 2021-08-10

Title: Overlap Detection in n-Dimensional Space
Description: Uses support vector machines to identify a perfectly separating hyperplane (linear or curvilinear) between two entities in high-dimensional space. If this plane exists, the entities do not overlap. Applications include overlap detection in morphological, resource or environmental dimensions. More details can be found in: Brown et al. (2020) <doi:10.1111/2041-210X.13363> .
Author: Matilda Brown [aut, cre] , Greg Jordan [aut]
Maintainer: Matilda Brown <m.brown2@kew.org>

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Package gt updated to version 1.1.0 with previous version 1.0.0 dated 2025-04-05

Title: Easily Create Presentation-Ready Display Tables
Description: Build display tables from tabular data with an easy-to-use set of functions. With its progressive approach, we can construct display tables with a cohesive set of table parts. Table values can be formatted using any of the included formatting functions. Footnotes and cell styles can be precisely added through a location targeting system. The way in which 'gt' handles things for you means that you don't often have to worry about the fine details.
Author: Richard Iannone [aut, cre] , Joe Cheng [aut], Barret Schloerke [aut] , Ellis Hughes [aut] , Alexandra Lauer [aut] , JooYoung Seo [aut] , Ken Brevoort [aut] , Olivier Roy [aut], Posit Software, PBC [cph, fnd]
Maintainer: Richard Iannone <rich@posit.co>

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Package FindIt readmission to version 1.3.0 with previous version 1.2.0 dated 2019-11-20

Title: Finding Heterogeneous Treatment Effects
Description: The heterogeneous treatment effect estimation procedure proposed by Imai and Ratkovic (2013)<DOI: 10.1214/12-AOAS593>. The proposed method is applicable, for example, when selecting a small number of most (or least) efficacious treatments from a large number of alternative treatments as well as when identifying subsets of the population who benefit (or are harmed by) a treatment of interest. The method adapts the Support Vector Machine classifier by placing separate LASSO constraints over the pre-treatment parameters and causal heterogeneity parameters of interest. This allows for the qualitative distinction between causal and other parameters, thereby making the variable selection suitable for the exploration of causal heterogeneity. The package also contains a class of functions, CausalANOVA, which estimates the average marginal interaction effects (AMIEs) by a regularized ANOVA as proposed by Egami and Imai (2019). It contains a variety of regularization techniques to facilita [...truncated...]
Author: Naoki Egami [aut, cre], Marc Ratkovic [aut], Kosuke Imai [aut]
Maintainer: Naoki Egami <naoki.egami5@gmail.com>

This is a re-admission after prior archival of version 1.2.0 dated 2019-11-20

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Package EpiILMCT readmission to version 1.1.8 with previous version 1.1.7 dated 2021-06-29

Title: Continuous Time Distance-Based and Network-Based Individual Level Models for Epidemics
Description: Provides tools for simulating from continuous-time individual level models of disease transmission, and carrying out infectious disease data analyses with the same models. The epidemic models considered are distance-based and/or contact network-based models within Susceptible-Infectious-Removed (SIR) or Susceptible-Infectious-Notified-Removed (SINR) compartmental frameworks. <doi:10.18637/jss.v098.i10>.
Author: Waleed Almutiry [aut, cre], Rob Deardon [aut, ths], Vineetha Warriyar K. V. [ctb]
Maintainer: Waleed Almutiry <wkmtierie@qu.edu.sa>

This is a re-admission after prior archival of version 1.1.7 dated 2021-06-29

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Package emIRT updated to version 0.0.15 with previous version 0.0.14 dated 2024-07-06

Title: EM Algorithms for Estimating Item Response Theory Models
Description: Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) models. The package includes IRT models for binary and ordinal responses, along with dynamic and hierarchical IRT models with binary responses. The latter two models are fitted using variational EM. The package also includes variational network and text scaling models. The algorithms are described in Imai, Lo, and Olmsted (2016) <DOI:10.1017/S000305541600037X>.
Author: Kosuke Imai [aut, cre], James Lo [aut], Jonathan Olmsted [aut]
Maintainer: Kosuke Imai <imai@harvard.edu>

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Package datana updated to version 1.1.4 with previous version 1.1.3 dated 2025-09-02

Title: Datasets and Functions to Accompany Analisis De Datos Con R
Description: Datasets and functions to accompany the book 'Analisis de datos con el programa estadistico R: una introduccion aplicada' by Salas-Eljatib (2021, ISBN: 9789566086109). The package helps carry out data management, exploratory analyses, and model fitting.
Author: Christian Salas-Eljatib [aut, cre] , Nicolas Campos [ctb] , Joaquin Riquelme [ctb] , Nicolas Pino [ctb]
Maintainer: Christian Salas-Eljatib <cseljatib@gmail.com>

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Package dataspice updated to version 1.1.1 with previous version 1.1.0 dated 2021-05-16

Title: Create Lightweight Schema.org Descriptions of Data
Description: The goal of 'dataspice' is to make it easier for researchers to create basic, lightweight, and concise metadata files for their datasets. These basic files can then be used to make useful information available during analysis, create a helpful dataset "README" webpage, and produce more complex metadata formats to aid dataset discovery. Metadata fields are based on the 'Schema.org' and 'Ecological Metadata Language' standards.
Author: Carl Boettiger [aut] , Scott Chamberlain [aut] , Auriel Fournier [aut] , Kelly Hondula [aut] , Anna Krystalli [aut] , Bryce Mecum [aut, cre] , Maelle Salmon [aut] , Kate Webbink [aut] , Kara Woo [aut] , Irene Steves [ctb]
Maintainer: Bryce Mecum <brycemecum@gmail.com>

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Package circumplex updated to version 1.0.2 with previous version 1.0.1 dated 2025-07-28

Title: Analysis and Visualization of Circular Data
Description: Circumplex models, which organize constructs in a circle around two underlying dimensions, are popular for studying interpersonal functioning, mood/affect, and vocational preferences/environments. This package provides tools for analyzing and visualizing circular data, including scoring functions for relevant instruments and a generalization of the bootstrapped structural summary method from Zimmermann & Wright (2017) <doi:10.1177/1073191115621795> and functions for creating publication-ready tables and figures from the results.
Author: Jeffrey Girard [aut, cre] , Johannes Zimmermann [aut] , Aidan Wright [aut]
Maintainer: Jeffrey Girard <me@jmgirard.com>

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Package tram updated to version 1.2-4 with previous version 1.2-3 dated 2025-06-18

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>, <DOI:10.32614/CRAN.package.mlt.docreg>). Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <DOI:10.1093/biostatistics/kxac048>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <DOI:10.1080/00031305.2023.2203177>) can be fitted as well. The package contains an implementation of a doubly robust score test, [...truncated...]
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [ctb] , Sandra Siegfried [aut] , Lucas Kook [aut] , Susanne Dandl [ctb] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package RMSS updated to version 1.2.2 with previous version 1.2.1 dated 2025-08-19

Title: Robust Multi-Model Subset Selection
Description: Efficient algorithms for generating ensembles of robust, sparse and diverse models via robust multi-model subset selection (RMSS). The robust ensembles are generated by minimizing the sum of the least trimmed square loss of the models in the ensembles under constraints for the size of the models and the sharing of the predictors. Tuning parameters for the robustness, sparsity and diversity of the robust ensemble are selected by cross-validation.
Author: Anthony Christidis [aut, cre], Gabriela Cohen-Freue [aut]
Maintainer: Anthony Christidis <anthony.christidis@stat.ubc.ca>

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Package multinet updated to version 4.3.1 with previous version 4.3 dated 2025-09-15

Title: Analysis and Mining of Multilayer Social Networks
Description: Functions for the creation/generation and analysis of multilayer social networks <doi:10.18637/jss.v098.i08>.
Author: Matteo Magnani [aut, cre], Luca Rossi [aut] , Davide Vega [aut] , Obaida Hanteer [ctb]
Maintainer: Matteo Magnani <matteo.magnani@it.uu.se>

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Package cbcTools updated to version 0.6.4 with previous version 0.6.3 dated 2025-08-21

Title: Design and Analyze Choice-Based Conjoint Experiments
Description: Design and evaluate choice-based conjoint survey experiments. Generate a variety of survey designs, including random designs, frequency-based designs, and D-optimal designs, as well as "labeled" designs (also known as "alternative-specific designs"), designs with "no choice" options, and designs with dominant alternatives removed. Conveniently inspect and compare designs using a variety of metrics, including design balance, overlap, and D-error, and simulate choice data for a survey design either randomly or according to a utility model defined by user-provided prior parameters. Conduct a power analysis for a given survey design by estimating the same model on different subsets of the data to simulate different sample sizes. Bayesian D-efficient designs using the 'cea' and 'modfed' methods are obtained using the 'idefix' package by Traets et al (2020) <doi:10.18637/jss.v096.i03>. Choice simulation and model estimation in power analyses are handled using the 'logitr' package by He [...truncated...]
Author: John Helveston [cre, aut, cph]
Maintainer: John Helveston <john.helveston@gmail.com>

Diff between cbcTools versions 0.6.3 dated 2025-08-21 and 0.6.4 dated 2025-09-23

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Package basefun updated to version 1.2-4 with previous version 1.2-3 dated 2025-05-09

Title: Infrastructure for Computing with Basis Functions
Description: Some very simple infrastructure for basis functions.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between basefun versions 1.2-3 dated 2025-05-09 and 1.2-4 dated 2025-09-23

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Package asciiSetupReader updated to version 2.5.3 with previous version 2.5.2 dated 2024-08-16

Title: Reads Fixed-Width ASCII Data Files (.txt or .dat) that Have Accompanying Setup Files (.sps or .sas)
Description: Lets you open a fixed-width ASCII file (.txt or .dat) that has an accompanying setup file (.sps or .sas). These file combinations are sometimes referred to as .txt+.sps, .txt+.sas, .dat+.sps, or .dat+.sas. This will only run in a txt-sps or txt-sas pair in which the setup file contains instructions to open that text file. It will NOT open other text files, .sav, .sas, or .por data files. Fixed-width ASCII files with setup files are common in older (pre-2000) government data.
Author: Jacob Kaplan [aut, cre]
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

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Package PhylogeneticEM updated to version 1.8.1 with previous version 1.8.0 dated 2025-02-14

Title: Automatic Shift Detection using a Phylogenetic EM
Description: Implementation of the automatic shift detection method for Brownian Motion (BM) or Ornstein–Uhlenbeck (OU) models of trait evolution on phylogenies. Some tools to handle equivalent shifts configurations are also available. See Bastide et al. (2017) <doi:10.1111/rssb.12206> and Bastide et al. (2018) <doi:10.1093/sysbio/syy005>.
Author: Paul Bastide [aut, cre], Mahendra Mariadassou [ctb]
Maintainer: Paul Bastide <paul.bastide@m4x.org>

Diff between PhylogeneticEM versions 1.8.0 dated 2025-02-14 and 1.8.1 dated 2025-09-23

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Package evgam updated to version 1.0.1 with previous version 1.0.0 dated 2022-06-28

Title: Generalised Additive Extreme Value Models
Description: Methods for fitting various extreme value distributions with parameters of generalised additive model (GAM) form are provided. For details of distributions see Coles, S.G. (2001) <doi:10.1007/978-1-4471-3675-0>, GAMs see Wood, S.N. (2017) <doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>. Details of how evgam works and various examples are given in Youngman, B.D. (2022) <doi:10.18637/jss.v103.i03>.
Author: Ben Youngman [aut, cre]
Maintainer: Ben Youngman <b.youngman@exeter.ac.uk>

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Package polarisR updated to version 0.1.4 with previous version 0.1.3 dated 2025-09-15

Title: Non-Linear Dimensionality Reduction Visualization Tool
Description: A 'shiny' application for visualizing high-dimensional data using non-linear dimensionality reduction (NLDR) techniques such as t-SNE and UMAP. It provides an interactive platform to explore high-dimensional datasets, diagnose the quality of the embeddings using the 'quollr' package, and compare different NLDR methods.
Author: Divendra Yadav [aut, cre], Ursula Laa [aut] , Jayani P. Gamage [aut] , Eun-Kyung Lee [aut]
Maintainer: Divendra Yadav <divendrasinghyadaviit@gmail.com>

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Package ockc updated to version 1.1.1 with previous version 1.1 dated 2022-12-23

Title: Order Constrained Solutions in k-Means Clustering
Description: Extends 'flexclust' with an R implementation of order constrained solutions in k-means clustering (Steinley and Hubert, 2008, <doi:10.1007/s11336-008-9058-z>).
Author: Sebastian Krey [aut, cre], Friedrich Leisch [aut], Sebastian Hoffmeister [ctb]
Maintainer: Sebastian Krey <sebastian.dev@skrey.net>

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Package antaresRead updated to version 2.9.2 with previous version 2.9.0 dated 2025-02-11

Title: Import, Manipulate and Explore the Results of an 'Antares' Simulation
Description: Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://antares-simulator.org/>).
Author: Tatiana Vargas [aut, cre], Jalal-Edine ZAWAM [aut], Frederic Breant [ctb], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], Victor Perrier [ctb], Etienne Sanchez [ctb], Assil Mansouri [ctb], Clement Berthet [ctb], Kamel Kemiha [c [...truncated...]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>

Diff between antaresRead versions 2.9.0 dated 2025-02-11 and 2.9.2 dated 2025-09-23

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 antaresRead-2.9.2/antaresRead/LICENSE                                                                    |    2 
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 antaresRead-2.9.2/antaresRead/NAMESPACE                                                                  |  245 
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 antaresRead-2.9.2/antaresRead/R/getAreas.R                                                               |  186 
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 antaresRead-2.9.2/antaresRead/R/getNtcOutput.R                                                           |   48 
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 antaresRead-2.9.2/antaresRead/R/readAntares.R                                                            | 1920 ++--
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 antaresRead-2.9.2/antaresRead/R/setHvdcAreas.R                                                           |  110 
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 antaresRead-2.9.2/antaresRead/man/readDigestFile.Rd                                                      |   40 
 antaresRead-2.9.2/antaresRead/man/readInputRES.Rd                                                        |   96 
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Package TreeBUGS updated to version 1.5.3 with previous version 1.5.0 dated 2023-05-21

Title: Hierarchical Multinomial Processing Tree Modeling
Description: User-friendly analysis of hierarchical multinomial processing tree (MPT) models that are often used in cognitive psychology. Implements the latent-trait MPT approach (Klauer, 2010) <DOI:10.1007/s11336-009-9141-0> and the beta-MPT approach (Smith & Batchelder, 2010) <DOI:10.1016/j.jmp.2009.06.007> to model heterogeneity of participants. MPT models are conveniently specified by an .eqn-file as used by other MPT software and data are provided by a .csv-file or directly in R. Models are either fitted by calling JAGS or by an MPT-tailored Gibbs sampler in C++ (only for nonhierarchical and beta MPT models). Provides tests of heterogeneity and MPT-tailored summaries and plotting functions. A detailed documentation is available in Heck, Arnold, & Arnold (2018) <DOI:10.3758/s13428-017-0869-7> and a tutorial on MPT modeling can be found in Schmidt, Erdfelder, & Heck (2023) <DOI:10.1037/met0000561>.
Author: Daniel W. Heck [aut, cre] , Nina R. Arnold [aut, dtc], Denis Arnold [aut], Alexander Ly [ctb], Marius Barth [ctb]
Maintainer: Daniel W. Heck <daniel.heck@uni-marburg.de>

Diff between TreeBUGS versions 1.5.0 dated 2023-05-21 and 1.5.3 dated 2025-09-23

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Package LaMa updated to version 2.0.6 with previous version 2.0.5 dated 2025-06-15

Title: Fast Numerical Maximum Likelihood Estimation for Latent Markov Models
Description: A variety of latent Markov models, including hidden Markov models, hidden semi-Markov models, state-space models and continuous-time variants can be formulated and estimated within the same framework via directly maximising the likelihood function using the so-called forward algorithm. Applied researchers often need custom models that standard software does not easily support. Writing tailored 'R' code offers flexibility but suffers from slow estimation speeds. We address these issues by providing easy-to-use functions (written in 'C++' for speed) for common tasks like the forward algorithm. These functions can be combined into custom models in a Lego-type approach, offering up to 10-20 times faster estimation via standard numerical optimisers. To aid in building fully custom likelihood functions, several vignettes are included that show how to simulate data from and estimate all the above model classes.
Author: Jan-Ole Koslik [aut, cre]
Maintainer: Jan-Ole Koslik <jan-ole.koslik@uni-bielefeld.de>

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Package fdasrvf updated to version 2.4.1 with previous version 2.4.0 dated 2025-06-27

Title: Elastic Functional Data Analysis
Description: Performs alignment, PCA, and modeling of multidimensional and unidimensional functions using the square-root velocity framework (Srivastava et al., 2011 <doi:10.48550/arXiv.1103.3817> and Tucker et al., 2014 <DOI:10.1016/j.csda.2012.12.001>). This framework allows for elastic analysis of functional data through phase and amplitude separation.
Author: J. Derek Tucker [aut, cre] , Aymeric Stamm [ctb]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

Diff between fdasrvf versions 2.4.0 dated 2025-06-27 and 2.4.1 dated 2025-09-23

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Permanent link

Package cellWise updated to version 2.5.4 with previous version 2.5.3 dated 2023-10-25

Title: Analyzing Data with Cellwise Outliers
Description: Tools for detecting cellwise outliers and robust methods to analyze data which may contain them. Contains the implementation of the algorithms described in Rousseeuw and Van den Bossche (2018) <doi:10.1080/00401706.2017.1340909> (open access) Hubert et al. (2019) <doi:10.1080/00401706.2018.1562989> (open access), Raymaekers and Rousseeuw (2021) <doi:10.1080/00401706.2019.1677270> (open access), Raymaekers and Rousseeuw (2021) <doi:10.1007/s10994-021-05960-5> (open access), Raymaekers and Rousseeuw (2021) <doi:10.52933/jdssv.v1i3.18> (open access), Raymaekers and Rousseeuw (2022) <doi:10.1080/01621459.2023.2267777> (open access) Rousseeuw (2022) <doi:10.1016/j.ecosta.2023.01.007> (open access). Examples can be found in the vignettes: "DDC_examples", "MacroPCA_examples", "wrap_examples", "transfo_examples", "DI_examples", "cellMCD_examples" , "Correspondence_analysis_examples", and "cellwise_weights_examples".
Author: Jakob Raymaekers [aut, cre], Peter Rousseeuw [aut], Wannes Van den Bossche [ctb], Mia Hubert [ctb]
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>

Diff between cellWise versions 2.5.3 dated 2023-10-25 and 2.5.4 dated 2025-09-23

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Package weaana updated to version 0.3.0 with previous version 0.1.1 dated 2021-09-27

Title: Analysis the Weather Data
Description: Functions are collected to analyse weather data for agriculture purposes including to read weather records in multiple formats, calculate extreme climate index. Demonstration data are included the SILO daily climate data (licensed under CC BY 4.0, <https://www.longpaddock.qld.gov.au/silo/>).
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <bangyou.zheng@csiro.au>

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Package waiter updated to version 0.2.5.1 with previous version 0.2.5 dated 2022-01-03

Title: Loading Screen for 'Shiny'
Description: Full screen and partial loading screens for 'Shiny' with spinners, progress bars, and notifications.
Author: John Coene [aut, cre], Jinhwan Kim [ctb], Victor Granda [ctb]
Maintainer: John Coene <jcoenep@gmail.com>

Diff between waiter versions 0.2.5 dated 2022-01-03 and 0.2.5.1 dated 2025-09-23

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Package RMVL updated to version 1.1.0.2 with previous version 1.1.0.1 dated 2024-09-14

Title: Mappable Vector Library for Handling Large Datasets
Description: Mappable vector library provides convenient way to access large datasets. Use all of your data at once, with few limits. Memory mapped data can be shared between multiple R processes. Access speed depends on storage medium, so solid state drive is recommended, preferably with PCI Express (or M.2 nvme) interface or a fast network file system. The data is memory mapped into R and then accessed using usual R list and array subscription operators. Convenience functions are provided for merging, grouping and indexing large vectors and data.frames. The layout of underlying MVL files is optimized for large datasets. The vectors are stored to guarantee alignment for vector intrinsics after memory map. The package is built on top of libMVL, which can be used as a standalone C library. libMVL has simple C API making it easy to interchange datasets with outside programs. Large MVL datasets are distributed via Academic Torrents <https://academictorrents.com/collection/mvl-datasets>.
Author: Vladimir Dergachev [aut, cre]
Maintainer: Vladimir Dergachev <support@altumrete.com>

Diff between RMVL versions 1.1.0.1 dated 2024-09-14 and 1.1.0.2 dated 2025-09-23

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Package rjtools updated to version 1.0.18.1 with previous version 1.0.18 dated 2025-01-23

Title: Preparing, Checking, and Submitting Articles to the 'R Journal'
Description: Create an 'R Journal' 'Rmarkdown' template article, that will generate html and pdf versions of your paper. Check that the paper folder has all the required components needed for submission. Examples of 'R Journal' publications can be found at <https://journal.r-project.org>.
Author: Mitchell O'Hara-Wild [aut], Stephanie Kobakian [aut], H. Sherry Zhang [aut], Di Cook [aut, cre] , Simon Urbanek [aut], Christophe Dervieux [aut]
Maintainer: Di Cook <dicook@monash.edu>

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Package rebus.unicode updated to version 0.0-2.1 with previous version 0.0-2 dated 2017-01-03

Title: Unicode Extensions for the 'rebus' Package
Description: Build regular expressions piece by piece using human readable code. This package contains Unicode functionality, and is primarily intended to be used by package developers.
Author: Richard Cotton [aut, cre]
Maintainer: Richard Cotton <richierocks@gmail.com>

Diff between rebus.unicode versions 0.0-2 dated 2017-01-03 and 0.0-2.1 dated 2025-09-23

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Package MultiLevelOptimalBayes updated to version 0.0.4.0 with previous version 0.0.3.0 dated 2025-09-10

Title: Regularized Bayesian Estimator for Two-Level Latent Variable Models
Description: Implements a regularized Bayesian estimator that optimizes the estimation of between-group coefficients for multilevel latent variable models by minimizing mean squared error (MSE) and balancing variance and bias. The package provides more reliable estimates in scenarios with limited data, offering a robust solution for accurate parameter estimation in two-level latent variable models. It is designed for researchers in psychology, education, and related fields who face challenges in estimating between-group effects under small sample sizes and low intraclass correlation coefficients. The package includes comprehensive S3 methods for result objects: print(), summary(), coef(), se(), vcov(), confint(), as.data.frame(), dim(), length(), names(), and update() for enhanced usability and integration with standard R workflows. Dashuk et al. (2025a) <doi:10.1017/psy.2025.10045> derived the optimal regularized Bayesian estimator; Dashuk et al. (2025b) <doi:10.1007/s41237-025-00264-7> [...truncated...]
Author: Valerii Dashuk [aut, cre], Binayak Timilsina [aut], Martin Hecht [aut], Steffen Zitzmann [aut]
Maintainer: Valerii Dashuk <vadashuk@gmail.com>

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Package globpso updated to version 1.3.1 with previous version 1.3.0 dated 2025-03-19

Title: Swarm Intelligence Optimization
Description: A fast and flexible general-purpose implementation of Particle Swarm Optimization (PSO) and Differential Evolution (DE) for solving global minimization problems is provided. It is designed to handle complex optimization tasks with nonlinear, non-differentiable, and multi-modal objective functions defined by users. There are five types of PSO variants: Particle Swarm Optimization (PSO, Eberhart & Kennedy, 1995) <doi:10.1109/MHS.1995.494215>, Quantum-behaved particle Swarm Optimization (QPSO, Sun et al., 2004) <doi:10.1109/CEC.2004.1330875>, Locally convergent rotationally invariant particle swarm optimization (LcRiPSO, Bonyadi & Michalewicz, 2014) <doi:10.1007/s11721-014-0095-1>, Competitive Swarm Optimizer (CSO, Cheng & Jin, 2015) <doi:10.1109/TCYB.2014.2322602> and Double exponential particle swarm optimization (DExPSO, Stehlik et al., 2024) <doi:10.1016/j.asoc.2024.111913>. For the DE algorithm, six types in Storn, R. & Price, K. (1997) & [...truncated...]
Author: Ping-Yang Chen [aut, cre], Ray-Bing Chen [aut], Russell Eberhart [ctb], Kennedy Kennedy [ctb], Jun Sun [ctb], Bin Feng [ctb], Wenbo Xu [ctb], Mohammad Reza Bonyadi [ctb], Zbigniew Michalewicz [ctb], Ran Cheng [ctb], Yaochu Jin [ctb], Milan Stehlik [c [...truncated...]
Maintainer: Ping-Yang Chen <pychen.ping@gmail.com>

Diff between globpso versions 1.3.0 dated 2025-03-19 and 1.3.1 dated 2025-09-23

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Package pARI updated to version 1.1.3 with previous version 1.1.2 dated 2024-09-06

Title: Permutation-Based All-Resolutions Inference
Description: Computes the All-Resolution Inference method in the permutation framework, i.e., simultaneous lower confidence bounds for the number of true discoveries. <doi:10.1002/sim.9725>.
Author: Angela Andreella [aut, cre]
Maintainer: Angela Andreella <angela.andreella@unive.it>

Diff between pARI versions 1.1.2 dated 2024-09-06 and 1.1.3 dated 2025-09-23

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Package expDB updated to version 0.3.0 with previous version 0.1.0 dated 2021-10-08

Title: Database for Experiment Dataset
Description: A 'SQLite' database is designed to store all information of experiment-based data including metadata, experiment design, managements, phenotypic values and climate records. The dataset can be imported from an 'Excel' file.
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <bangyou.zheng@csiro.au>

Diff between expDB versions 0.1.0 dated 2021-10-08 and 0.3.0 dated 2025-09-23

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Package TreeTools updated to version 2.0.0 with previous version 1.16.1 dated 2025-08-24

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; tree rearrangement; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of split support; plotting the position of rogue taxa (Klopfstein & Spasojevic 2019) <doi:10.1371/journal.pone.0212942>; calculation of ancestor-descendant relationships, of 'stemwardness' (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>, and of tree balance (Mir et al. 2013, Lemant et al. 2022) <doi:10.1016/j.mbs.2012.10.005>, <doi:10.1093/sysbio/syac027>; artificial extinction (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <https://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] , Emmanuel Paradis [cph] , Robert Noble [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeTools versions 1.16.1 dated 2025-08-24 and 2.0.0 dated 2025-09-23

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New package ravecore with initial version 0.1.0
Package: ravecore
Title: Core File Structures and Workflows for 'RAVE'
Version: 0.1.0
Description: Defines storage standard for Read, process, and analyze intracranial electroencephalography and deep-brain stimulation in 'RAVE', a reproducible framework for analysis and visualization of iEEG by Magnotti, Wang, and Beauchamp, (2020, <doi:10.1016/j.neuroimage.2020.117341>). Supports brain imaging data structure (BIDS) <https://bids.neuroimaging.io> and native file structure to ingest signals from 'Matlab' data files, hierarchical data format 5 (HDF5), European data format (EDF), BrainVision core data format (BVCDF), or BlackRock Microsystem (NEV/NSx); process images in Neuroimaging informatics technology initiative (NIfTI) and 'FreeSurfer' formats, providing brain imaging normalization to template brain, facilitating 'threeBrain' package for comprehensive electrode localization via 'YAEL' (your advanced electrode localizer) by Wang, Magnotti, Zhang, and Beauchamp (2023, <doi:10.1523/ENEURO.0328-23.2023>).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://rave.wiki, http://rave.wiki/ravecore/
BugReports: https://github.com/rave-ieeg/ravecore/issues
Imports: tools, utils, bidsr, data.table, filearray (>= 0.2.0), fs, ieegio, jsonlite, methods, R6, ravepipeline (>= 0.0.2), ravetools, S7, threeBrain
Suggests: rpyANTs, rpymat, htmltools, httpuv, plotly, RNifti, RNiftyReg, shiny, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-09-18 21:12:23 UTC; dipterix
Author: Zhengjia Wang [aut, cre] , Xiang Zhang [aut], John Magnotti [aut], Michael Beauchamp [aut], Trustees of the University of Pennsylvania [cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-23 11:00:02 UTC

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Package pkgload updated to version 1.4.1 with previous version 1.4.0 dated 2024-06-28

Title: Simulate Package Installation and Attach
Description: Simulates the process of installing a package and then attaching it. This is a key part of the 'devtools' package as it allows you to rapidly iterate while developing a package.
Author: Hadley Wickham [aut], Winston Chang [aut], Jim Hester [aut], Lionel Henry [aut, cre], Posit Software, PBC [cph, fnd], R Core team [ctb]
Maintainer: Lionel Henry <lionel@posit.co>

Diff between pkgload versions 1.4.0 dated 2024-06-28 and 1.4.1 dated 2025-09-23

 DESCRIPTION                                          |   14 +-
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 tests/testthat/test-po.R                             |   15 +-
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 tests/testthat/test-s4-sort.R                        |    3 
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 57 files changed, 819 insertions(+), 464 deletions(-)

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Package otelsdk updated to version 0.2.1 with previous version 0.2.0 dated 2025-09-10

Title: 'R' 'SDK' and Exporters for 'OpenTelemetry'
Description: 'OpenTelemetry' is a collection of tools, 'APIs', and 'SDKs' used to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) for analysis in order to understand your software's performance and behavior. This package contains the 'OpenTelemetry' 'SDK', and exporters. Use this package to export traces, metrics, logs from instrumented 'R' code. Use the 'otel' package to instrument your 'R' code for 'OpenTelemetry'.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd] , opentelemetry-cpp authors [ctb]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between otelsdk versions 0.2.0 dated 2025-09-10 and 0.2.1 dated 2025-09-23

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 13 files changed, 55 insertions(+), 26 deletions(-)

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New package hclustTeach with initial version 0.1.0
Package: hclustTeach
Title: Hierarchical Cluster Analysis (Learning Didactically)
Version: 0.1.0
Description: Implements hierarchical clustering methods (single linkage, complete linkage, average linkage, and centroid linkage) with stepwise printing and dendrograms for didactic purposes.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-18 14:57:50 UTC; gsaga
Author: Gualberto Segundo Agamez Montalvo [aut, cre]
Maintainer: Gualberto Segundo Agamez Montalvo <gsagamez@dema.ufc.br>
Repository: CRAN
Date/Publication: 2025-09-23 10:30:02 UTC

More information about hclustTeach at CRAN
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New package fastfocal with initial version 0.1.3
Package: fastfocal
Title: Fast Multiscale Raster Extraction and Moving Window Analysis with FFT
Version: 0.1.3
Date: 2025-09-09
Description: Provides fast moving-window ("focal") and buffer-based extraction for raster data using the 'terra' package. Automatically selects between a 'C++' backend (via 'terra') and a Fast Fourier Transform (FFT) backend depending on problem size. The FFT backend supports sum and mean, while other statistics (e.g., median, min, max, standard deviation) are handled by the 'terra' backend. Supports multiple kernel types (e.g., circle, rectangle, gaussian), with NA handling consistent with 'terra' via 'na.rm' and 'na.policy'. Operates on 'SpatRaster' objects and returns results with the same geometry.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: terra, graphics, grDevices, stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dplyr, withr, spelling
VignetteBuilder: knitr
URL: https://hoyiwan.github.io/fastfocal/, https://github.com/hoyiwan/fastfocal, https://doi.org/10.5281/zenodo.17074691
BugReports: https://github.com/hoyiwan/fastfocal/issues
Language: en-US
NeedsCompilation: no
Packaged: 2025-09-18 18:34:43 UTC; hoyiw
Author: Ho Yi Wan [aut, cre]
Maintainer: Ho Yi Wan <hoyiwan@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-23 10:50:02 UTC

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New package diegr with initial version 0.1.0
Package: diegr
Title: Dynamic and Interactive EEG Graphics
Version: 0.1.0
Description: Allows to visualize high-density electroencephalography (HD-EEG) data through interactive plots and animations, enabling exploratory and communicative analysis of temporal-spatial brain signals. Funder: Masaryk University (Grant No. MUNI/A/1457/2023).
License: MIT + file LICENSE
Date: 2025-08-27
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: dplyr, rlang, ggplot2, gganimate, plotly, rgl, sp, scales, stats, purrr, tidyr
LazyData: true
Suggests: av, gifski, magick, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-18 15:33:13 UTC; zdenda
Author: Zdeňka Gerslova [aut, cre] , Stanislav Katina [rev] , Martin Lamos [ctb]
Maintainer: Zdeňka Gerslova <gerslovaz@math.muni.cz>
Repository: CRAN
Date/Publication: 2025-09-23 10:40:02 UTC

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Package BHMSMAfMRI updated to version 2.3 with previous version 2.2 dated 2024-06-12

Title: Bayesian Hierarchical Multi-Subject Multiscale Analysis of Functional MRI (fMRI) Data
Description: Package BHMSMAfMRI performs Bayesian hierarchical multi-subject multiscale analysis of fMRI data as described in Sanyal & Ferreira (2012) <DOI:10.1016/j.neuroimage.2012.08.041>, or other multiscale data, using wavelet-based prior that borrows strength across subjects and provides posterior smoothed images of the effect sizes and samples from the posterior distribution.
Author: Nilotpal Sanyal [aut, cre] , Marco A.R. Ferreira [aut]
Maintainer: Nilotpal Sanyal <nilotpal.sanyal@gmail.com>

Diff between BHMSMAfMRI versions 2.2 dated 2024-06-12 and 2.3 dated 2025-09-23

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Package afmToolkit updated to version 1.0.0 with previous version 0.0.1 dated 2017-04-03

Title: Functions for Atomic Force Microscope Force-Distance Curves Analysis
Description: Set of functions for analyzing Atomic Force Microscope (AFM) force-distance curves. It allows to obtain the contact and unbinding points, perform the baseline correction, estimate the Young's modulus, fit up to two exponential decay function to a stress-relaxation / creep experiment, obtain adhesion energies. These operations can be done either over a single F-d curve or over a set of F-d curves in batch mode.
Author: Rafael Benitez [aut, cre], Vicente Jose Bolos [aut], Jose-Luis Toca-Herrera [aut]
Maintainer: Rafael Benitez <rabesua@uv.es>

Diff between afmToolkit versions 0.0.1 dated 2017-04-03 and 1.0.0 dated 2025-09-23

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Permanent link

New package acmgscaler with initial version 1.0.0
Package: acmgscaler
Title: Variant Effect Calibration to ACMG/AMP Evidence Strength
Version: 1.0.0
Description: Provides a function to calibrate variant effect scores against evidence strength categories defined by the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) guidelines. The method computes likelihood ratios of pathogenicity via kernel density estimation of pathogenic and benign score distributions, and derives score intervals corresponding to ACMG/AMP evidence levels. This enables researchers and clinical geneticists to interpret functional and computational variant scores in a reproducible and standardised manner. For details, see Badonyi and Marsh (2025) <doi:10.1093/bioinformatics/btaf503>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en
Depends: R (>= 3.5.0)
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-18 18:25:42 UTC; mbadonyi
Author: Mihaly Badonyi [aut, cre]
Maintainer: Mihaly Badonyi <mihaly.badonyi@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-23 10:50:08 UTC

More information about acmgscaler at CRAN
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Package DatabaseConnector updated to version 7.0.0 with previous version 6.4.0 dated 2025-01-30

Title: Connecting to Various Database Platforms
Description: An R 'DataBase Interface' ('DBI') compatible interface to various database platforms ('PostgreSQL', 'Oracle', 'Microsoft SQL Server', 'Amazon Redshift', 'Microsoft Parallel Database Warehouse', 'IBM Netezza', 'Apache Impala', 'Google BigQuery', 'Snowflake', 'Spark', 'SQLite', and 'InterSystems IRIS'). Also includes support for fetching data as 'Andromeda' objects. Uses either 'Java Database Connectivity' ('JDBC') or other 'DBI' drivers to connect to databases.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut], Adam Black [aut], Observational Health Data Science and Informatics [cph], Microsoft Inc. [cph] , PostgreSQL Global Development Group [cph] , Oracle Inc. [cph] , Amazon Inc. [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between DatabaseConnector versions 6.4.0 dated 2025-01-30 and 7.0.0 dated 2025-09-23

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 DatabaseConnector-7.0.0/DatabaseConnector/R/CtasHack.R                                                        |   33 
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 DatabaseConnector-7.0.0/DatabaseConnector/R/DataHash.R                                                        |    8 
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Package acebayes updated to version 1.11 with previous version 1.10 dated 2020-10-05

Title: Optimal Bayesian Experimental Design using the ACE Algorithm
Description: Optimal Bayesian experimental design using the approximate coordinate exchange (ACE) algorithm.
Author: Antony M. Overstall [aut, cre], David C. Woods [aut], Maria Adamou & Damianos Michaelides [aut]
Maintainer: Antony M. Overstall <A.M.Overstall@soton.ac.uk>

Diff between acebayes versions 1.10 dated 2020-10-05 and 1.11 dated 2025-09-23

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Package openaistream (with last version 0.3.0) was removed from CRAN

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

2024-06-07 0.3.0
2024-01-23 0.2.0
2023-11-27 0.1.9
2023-11-17 0.1.8
2023-11-06 0.1.6
2023-11-03 0.1.4

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Package SeqExpMatch (with last version 0.1.0) was removed from CRAN

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2021-06-01 0.1.0

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Package factset.protobuf.stachextensions (with last version 1.0.4) was removed from CRAN

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

2023-10-19 1.0.4
2023-01-12 1.0.3

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Package MLVSBM (with last version 0.2.4) was removed from CRAN

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

2022-08-05 0.2.4

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Package shinyreforms (with last version 0.0.1) was removed from CRAN

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

2020-05-12 0.0.1

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Package influxdbclient (with last version 0.1.2) was removed from CRAN

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

2022-09-01 0.1.2
2022-08-24 0.1.1
2021-07-21 0.1.0

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Package rminizinc (with last version 0.0.8) was removed from CRAN

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

2021-10-15 0.0.8
2021-08-04 0.0.7
2021-02-26 0.0.6
2021-01-27 0.0.5
2021-01-22 0.0.4
2021-01-05 0.0.3
2020-12-17 0.0.2
2020-12-14 0.0.1

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Package mstrio (with last version 11.3.5.101) was removed from CRAN

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

2022-04-13 11.3.5.101
2020-12-21 11.3.0.1
2020-08-04 11.2.2.1
2020-06-23 11.2.2
2020-03-26 11.2.1
2019-12-10 11.2.0
2019-10-28 11.1.4.25
2018-09-14 10.11.1

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Package multid updated to version 1.0.2 with previous version 1.0.1 dated 2025-09-04

Title: Multivariate Difference Between Two Groups
Description: Estimation of multivariate differences between two groups (e.g., multivariate sex differences) with regularized regression methods and predictive approach. See Ilmarinen et al. (2023) <doi:10.1177/08902070221088155>. Deconstructing difference score correlations (e.g., gender-equality paradox), see Ilmarinen & Lönnqvist (2024) <doi:10.1037/pspp0000508>. Includes also tools that help in understanding difference score reliability, conditional intra-class correlations, tail-dependency, and heterogeneity of variance estimates. Package development was supported by the Academy of Finland research grant 338891.
Author: Ville-Juhani Ilmarinen [aut, cre]
Maintainer: Ville-Juhani Ilmarinen <vj.ilmarinen@gmail.com>

Diff between multid versions 1.0.1 dated 2025-09-04 and 1.0.2 dated 2025-09-23

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New package tcv with initial version 0.1.0
Package: tcv
Title: Determining the Number of Factors in Poisson Factor Models via Thinning Cross-Validation
Version: 0.1.0
Date: 2025-09-01
Description: Implements methods for selecting the number of factors in Poisson factor models, with a primary focus on Thinning Cross-Validation (TCV). The TCV method is based on the 'data thinning' technique, which probabilistically partitions each count observation into training and test sets while preserving the underlying factor structure. The Poisson factor model is then fit on the training set, and model selection is performed by comparing predictive performance on the test set. This toolkit is designed for researchers working with high-dimensional count data in fields such as genomics, text mining, and social sciences. The data thinning methodology is detailed in Dharamshi et al. (2025) <doi:10.1080/01621459.2024.2353948> and Wang et al. (2025) <doi:10.1080/01621459.2025.2546577>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: stats, GFM, countsplit, irlba
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
SystemRequirements: C++17
URL: https://github.com/Wangzhijingwzj/tcv
BugReports: https://github.com/Wangzhijingwzj/tcv/issues
NeedsCompilation: yes
Packaged: 2025-09-18 11:30:24 UTC; clswt-wangzhijing
Author: Zhijing Wang [aut, cre], Heng Peng [aut], Peirong Xu [aut]
Maintainer: Zhijing Wang <wangzhijing@sjtu.edu.cn>
Repository: CRAN
Date/Publication: 2025-09-23 07:40:02 UTC

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New package salmonMSE with initial version 0.1.0
Package: salmonMSE
Title: Management Strategy Evaluation for Salmon Species
Version: 0.1.0
Date: 2025-09-17
Maintainer: Quang Huynh <quang@bluematterscience.com>
Description: Simulation tools to evaluate the long-term effects of salmon management strategies, including a combination of habitat, harvest, and habitat actions. The stochastic age-structured operating model accommodates complex life histories, including freshwater survival across early life stages, juvenile survival and fishery exploitation in the marine life stage, partial maturity by age class, and fitness impacts of hatchery programs on natural spawning populations. 'salmonMSE' also provides an age-structured conditioning model to develop operating models fitted to data.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: abind, MSEtool (>= 3.7.2), RTMB, dplyr, ggplot2, grDevices, gsl, methods, reshape2, rlang, rmarkdown, stats, utils
Suggests: ggrepel, rstan, testthat (>= 3.0.0), tmbstan
Encoding: UTF-8
LazyData: yes
LazyLoad: yes
URL: https://docs.salmonmse.com/, https://github.com/Blue-Matter/salmonMSE
BugReports: https://github.com/Blue-Matter/salmonMSE/issues
NeedsCompilation: no
Packaged: 2025-09-18 01:27:57 UTC; quang
Author: Quang Huynh [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-23 07:30:02 UTC

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Package rtables.officer updated to version 0.1.1 with previous version 0.1.0 dated 2025-04-22

Title: Exporting Tools for 'rtables'
Description: Designed to create and display complex tables with R, the 'rtables' R package allows cells in an 'rtables' object to contain any high-dimensional data structure, which can then be displayed with cell-specific formatting instructions. Additionally, the 'rtables.officer' package supports export formats related to the Microsoft Office software suite, including Microsoft Word ('docx') and Microsoft PowerPoint ('pptx').
Author: Gabriel Becker [ctb], Davide Garolini [aut] , Emily de la Rua [aut] , Abinaya Yogasekaram [aut] , Joe Zhu [aut, cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package RiemBase updated to version 0.2.6 with previous version 0.2.5 dated 2021-08-21

Title: Functions and C++ Header Files for Computation on Manifolds
Description: We provide a number of algorithms to estimate fundamental statistics including Fréchet mean and geometric median for manifold-valued data. Also, C++ header files are contained that implement elementary operations on manifolds such as Sphere, Grassmann, and others. See Bhattacharya and Bhattacharya (2012) <doi:10.1017/CBO9781139094764> if you are interested in statistics on manifolds, and Absil et al (2007, ISBN:9780691132983) on computational aspects of optimization on matrix manifolds.
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

Diff between RiemBase versions 0.2.5 dated 2021-08-21 and 0.2.6 dated 2025-09-23

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Package PowerTOST updated to version 1.5-7 with previous version 1.5-6 dated 2024-03-18

Title: Power and Sample Size for (Bio)Equivalence Studies
Description: Contains functions to calculate power and sample size for various study designs used in bioequivalence studies. Use known.designs() to see the designs supported. Power and sample size can be obtained based on different methods, amongst them prominently the TOST procedure (two one-sided t-tests). See README and NEWS for further information.
Author: Detlew Labes [aut, cre] , Helmut Schuetz [aut] , Benjamin Lang [aut]
Maintainer: Detlew Labes <DetlewLabes@gmx.de>

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New package glyrepr with initial version 0.7.4
Package: glyrepr
Title: Representation for Glycan Compositions and Structures
Version: 0.7.4
Description: Computational representations of glycan compositions and structures, including details such as linkages, anomers, and substituents. Supports varying levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages. Provides robust parsing and generation of IUPAC-condensed structure strings. Optimized for vectorized operations on glycan structures, with efficient handling of duplications. As the cornerstone of the glycoverse ecosystem, this package delivers the foundational data structures that power glycomics and glycoproteomics analysis workflows.
License: MIT + file LICENSE
Suggests: testthat (>= 3.0.0), patrick, tibble, knitr, rmarkdown, tictoc, lobstr
Encoding: UTF-8
URL: https://glycoverse.github.io/glyrepr/
Imports: checkmate, cli, dplyr, furrr, future, glue, igraph, magrittr, pillar, purrr, rlang, rstackdeque, stringr, vctrs (>= 0.6.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-18 13:14:37 UTC; fubin
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>
Repository: CRAN
Date/Publication: 2025-09-23 08:00:09 UTC

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Package fastplyr updated to version 0.9.9 with previous version 0.9.0 dated 2025-06-05

Title: Fast Alternatives to 'tidyverse' Functions
Description: A full set of fast data manipulation tools with a tidy front-end and a fast back-end using 'collapse' and 'cheapr'.
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

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Package ExtDist updated to version 0.7-4 with previous version 0.7-3 dated 2025-06-09

Title: Extending the Range of Functions for Probability Distributions
Description: A consistent, unified and extensible framework for estimation of parameters for probability distributions, including parameter estimation procedures that allow for weighted samples; the current set of distributions included are: the standard beta, The four-parameter beta, Burr, gamma, Gumbel, Johnson SB and SU, Laplace, logistic, normal, symmetric truncated normal, truncated normal, symmetric-reflected truncated beta, standard symmetric-reflected truncated beta, triangular, uniform, and Weibull distributions; decision criteria and selections based on these decision criteria.
Author: Haizhen Wu [aut], A. Jonathan R. Godfrey [aut], Kondaswamy Govindaraju [aut], Sarah Pirikahu [aut], Oleksii Nikolaienko [cre, ctb]
Maintainer: Oleksii Nikolaienko <oleksii.nikolaienko@gmail.com>

Diff between ExtDist versions 0.7-3 dated 2025-06-09 and 0.7-4 dated 2025-09-23

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New package dtlg with initial version 0.0.2
Package: dtlg
Title: A Performance-Focused Package for Clinical Trial Tables
Version: 0.0.2
Description: Create high-performance clinical reporting tables (TLGs) from ADaM-like inputs. The package provides a consistent, programmatic API to generate common tables such as demographics, adverse event incidence, and laboratory summaries, using 'data.table' for fast aggregation over large populations. Functions support flexible target-variable selection, stratification by treatment, and customizable summary statistics, and return tidy, machine-readable results ready to render with downstream table/formatting packages in analysis pipelines.
License: MIT + file LICENSE
Imports: data.table, vctrs
Suggests: dplyr, random.cdisc.data, rmarkdown, tern, kableExtra, testthat (>= 3.0.0), bench, tidyr, rtables, dtlg.data (>= 0.2.0), withr
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
URL: https://AscentSoftware.github.io/dtlg/
Additional_repositories: https://ascentsoftware.r-universe.dev
NeedsCompilation: no
Packaged: 2025-09-18 13:27:37 UTC; rmagno
Author: Max Ebenezer-Brown [aut], Max Norman [aut], Xinye Li [aut], Anja Peebles-Brown [aut], Ramiro Magno [aut, cre]
Maintainer: Ramiro Magno <ramiro.morgado@ascent.io>
Repository: CRAN
Date/Publication: 2025-09-23 08:00:25 UTC

More information about dtlg at CRAN
Permanent link

Package DIZtools updated to version 1.0.3 with previous version 1.0.2 dated 2025-03-17

Title: Lightweight Utilities for 'DIZ' R Package Development
Description: Lightweight utility functions used for the R package development infrastructure inside the data integration centers ('DIZ') to standardize and facilitate repetitive tasks such as setting up a database connection or issuing notification messages and to avoid redundancy.
Author: Jonathan M. Mang [aut, cre] , Lorenz A. Kapsner [aut] , MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitaetsklinikum Erlangen, Germany [cph]
Maintainer: Jonathan M. Mang <jonathan.mang@uk-erlangen.de>

Diff between DIZtools versions 1.0.2 dated 2025-03-17 and 1.0.3 dated 2025-09-23

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Package schtools (with last version 0.4.1) was removed from CRAN

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

2023-08-21 0.4.1
2023-01-16 0.4.0
2022-11-16 0.3.1
2022-10-05 0.3.0
2022-05-11 0.2.1
2022-03-11 0.1.1
2021-11-22 0.1.0

Permanent link
Package inTextSummaryTable (with last version 3.3.4) was removed from CRAN

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

2025-09-03 3.3.4
2024-06-12 3.3.3
2024-03-09 3.3.2
2023-09-12 3.3.1
2023-03-03 3.3.0
2022-11-18 3.2.1
2022-10-01 3.2.0

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Package rtiddlywiki updated to version 0.5.0 with previous version 0.1.0 dated 2022-07-05

Title: R Interface for 'TiddlyWiki'
Description: 'TiddlyWiki' is a unique non-linear notebook for capturing, organising and sharing complex information. 'rtiddlywiki' is a R interface of 'TiddlyWiki' <https://tiddlywiki.com> to create new tiddler from Rmarkdown file, and then put into a local 'TiddlyWiki' node.js server if it is available.
Author: Bangyou Zheng [aut, cre]
Maintainer: Bangyou Zheng <bangyou.zheng@csiro.au>

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Package quollr updated to version 0.3.13 with previous version 0.3.7 dated 2025-07-22

Title: Visualising How Nonlinear Dimension Reduction Warps Your Data
Description: To construct a model in 2-D space from 2-D nonlinear dimension reduction data and then lift it to the high-dimensional space. Additionally, provides tools to visualise the model overlay the data in 2-D and high-dimensional space. Furthermore, provides summaries and diagnostics to evaluate the nonlinear dimension reduction layout.
Author: Jayani P. Gamage [aut, cre] , Dianne Cook [aut] , Paul Harrison [aut] , Michael Lydeamore [aut] , Thiyanga S. Talagala [aut]
Maintainer: Jayani P. Gamage <jayanilakshika76@gmail.com>

Diff between quollr versions 0.3.7 dated 2025-07-22 and 0.3.13 dated 2025-09-23

 quollr-0.3.13/quollr/DESCRIPTION                                                                           |    8 
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 quollr-0.3.13/quollr/NAMESPACE                                                                             |    8 
 quollr-0.3.13/quollr/NEWS.md                                                                               |    4 
 quollr-0.3.13/quollr/R/2d.R                                                                                |   79 
 quollr-0.3.13/quollr/R/data.R                                                                              |    2 
 quollr-0.3.13/quollr/R/data_preprocessing.R                                                                |   22 
 quollr-0.3.13/quollr/R/highd.R                                                                             |   27 
 quollr-0.3.13/quollr/R/link_plots.R                                                                        |   14 
 quollr-0.3.13/quollr/R/model.R                                                                             |   41 
 quollr-0.3.13/quollr/R/parameters.R                                                                        |   18 
 quollr-0.3.13/quollr/R/prediction.R                                                                        |   94 
 quollr-0.3.13/quollr/R/projection.R                                                                        |    4 
 quollr-0.3.13/quollr/R/util.R                                                                              |   10 
 quollr-0.3.13/quollr/data/scurve_model_obj.rda                                                             |binary
 quollr-0.3.13/quollr/data/scurve_plts.rda                                                                  |binary
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 quollr-0.3.13/quollr/inst/doc/quollr1quickstart.Rmd                                                        |    4 
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 quollr-0.3.13/quollr/inst/doc/quollr4algo.R                                                                |    6 
 quollr-0.3.13/quollr/inst/doc/quollr4algo.Rmd                                                              |    6 
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 quollr-0.3.13/quollr/man/calc_bins_y.Rd                                                                    |    6 
 quollr-0.3.13/quollr/man/comb_all_data_model_error.Rd                                                      |    3 
 quollr-0.3.13/quollr/man/compute_mean_density_hex.Rd                                                       |    4 
 quollr-0.3.13/quollr/man/find_low_dens_hex.Rd                                                              |    8 
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 quollr-0.3.13/quollr/man/fit_highd_model.Rd                                                                |   10 
 quollr-0.3.13/quollr/man/gen_centroids.Rd                                                                  |    6 
 quollr-0.3.13/quollr/man/gen_diffbin1_errors.Rd                                                            |    4 
 quollr-0.3.13/quollr/man/gen_edges.Rd                                                                      |    2 
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 quollr-0.3.13/quollr/man/tri_bin_centroids.Rd                                                              |    2 
 quollr-0.3.13/quollr/src/2d.cpp                                                                            |    4 
 quollr-0.3.13/quollr/src/Makevars                                                                          |    3 
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 quollr-0.3.13/quollr/tests/testthat/_snaps/parameters.md                                                   |   57 
 quollr-0.3.13/quollr/tests/testthat/_snaps/prediction.md                                                   |   48 
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 quollr-0.3.13/quollr/tests/testthat/test-data_processing.R                                                 |    1 
 quollr-0.3.13/quollr/tests/testthat/test-geom_hexgrid.R                                                    |    2 
 quollr-0.3.13/quollr/tests/testthat/test-geom_trimesh.R                                                    |    3 
 quollr-0.3.13/quollr/tests/testthat/test-highd.R                                                           |    2 
 quollr-0.3.13/quollr/tests/testthat/test-link_plots.R                                                      |    9 
 quollr-0.3.13/quollr/tests/testthat/test-model.R                                                           |   14 
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 quollr-0.3.13/quollr/tests/testthat/test-util.R                                                            |   10 
 quollr-0.3.13/quollr/vignettes/quollr1quickstart.Rmd                                                       |    4 
 quollr-0.3.13/quollr/vignettes/quollr3hexbin.Rmd                                                           |   12 
 quollr-0.3.13/quollr/vignettes/quollr4algo.Rmd                                                             |    6 
 quollr-0.3.13/quollr/vignettes/quollr5summary.Rmd                                                          |   16 
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Package plotthis updated to version 0.8.0 with previous version 0.7.4 dated 2025-08-23

Title: High-Level Plotting Built Upon 'ggplot2' and Other Plotting Packages
Description: Provides high-level API and a wide range of options to create stunning, publication-quality plots effortlessly. It is built upon 'ggplot2' and other plotting packages, and is designed to be easy to use and to work seamlessly with 'ggplot2' objects. It is particularly useful for creating complex plots with multiple layers, facets, and annotations. It also provides a set of functions to create plots for specific types of data, such as Venn diagrams, alluvial diagrams, and phylogenetic trees. The package is designed to be flexible and customizable, and to work well with the 'ggplot2' ecosystem. The API can be found at <https://pwwang.github.io/plotthis/reference/index.html>.
Author: Panwen Wang [aut, cre]
Maintainer: Panwen Wang <pwwang@pwwang.com>

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Package networkR updated to version 0.1.5 with previous version 0.1.4 dated 2025-09-21

Title: Network Analysis and Visualization
Description: Collection of functions for fast manipulation, handling, and analysis of large-scale networks based on family and social data. Functions are utility functions used to manipulate data in three "formats": sparse adjacency matrices, pedigree trio family data, and pedigree family data. When possible, the functions should be able to handle millions of data points quickly for use in combination with data from large public national registers and databases. Kenneth Lange (2003, ISBN:978-8181281135).
Author: Claus Thorn Ekstroem [aut, cre], Bendix Carstensen [ctb]
Maintainer: Claus Thorn Ekstroem <ekstrom@sund.ku.dk>

Diff between networkR versions 0.1.4 dated 2025-09-21 and 0.1.5 dated 2025-09-23

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Package coda.plot updated to version 0.1.10 with previous version 0.1.9 dated 2025-04-20

Title: Plots for Compositional Data
Description: Provides a collection of easy-to-use functions for creating visualizations of compositional data using 'ggplot2'. Includes support for common plotting techniques in compositional data analysis.
Author: Marc Comas-Cufi [aut, cre]
Maintainer: Marc Comas-Cufi <mcomas@imae.udg.edu>

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Package ArctosR updated to version 0.1.3 with previous version 0.1.2 dated 2025-09-15

Title: An Interface to the 'Arctos' Database
Description: Performs requests to the 'Arctos' API to download data. Provides a set of builder classes for performing complex requests, as well as a set of simple functions for automating many common requests and workflows. More information about 'Arctos' can be found in Cicero et al. (2024) <doi:10.1371/journal.pone.0296478> or on their website <https://arctosdb.org/>.
Author: Harlan R. Williams [aut, cre], Marlon E. Cobos [aut], Jocelyn P. Colella [aut], Michelle S. Koo [aut], Vijay Barve [aut]
Maintainer: Harlan R. Williams <harlanrhwilliams@gmail.com>

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Package matchingR updated to version 2.0.0 with previous version 1.3.3 dated 2021-05-25

Title: Matching Algorithms in R and C++
Description: Computes matching algorithms quickly using Rcpp. Implements the Gale-Shapley Algorithm to compute the stable matching for two-sided markets, such as the stable marriage problem and the college-admissions problem. Implements Irving's Algorithm for the stable roommate problem. Implements the top trading cycle algorithm for the indivisible goods trading problem.
Author: Jan Tilly [aut, cre], Nick Janetos [aut]
Maintainer: Jan Tilly <jantilly@gmail.com>

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Package ggsci updated to version 4.0.0 with previous version 3.2.0 dated 2024-06-17

Title: Scientific Journal and Sci-Fi Themed Color Palettes for 'ggplot2'
Description: A collection of 'ggplot2' color palettes inspired by plots in scientific journals, data visualization libraries, science fiction movies, and TV shows.
Author: Nan Xiao [aut, cre, cph] , Joshua Cook [ctb], Clara Jegousse [ctb], Hui Chen [ctb], Miaozhu Li [ctb], iTerm2-Color-Schemes contributors [ctb, cph] , Winston Chang [ctb, cph]
Maintainer: Nan Xiao <me@nanx.me>

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