Sat, 08 Nov 2025

Package pkgdown.offline updated to version 0.1.2 with previous version 0.1.1 dated 2025-05-25

Title: Build 'pkgdown' Websites Offline
Description: Provides support for building 'pkgdown' websites without an internet connection. Works by bundling cached dependencies and implementing drop-in replacements for key 'pkgdown' functions. Enables package documentation websites to be built in environments where internet access is unavailable or restricted. For more details on generating 'pkgdown' websites, see Wickham et al. (2025) <doi:10.32614/CRAN.package.pkgdown>.
Author: Nan Xiao [aut, cre, cph] , John Blischak [aut] , Algolia, Inc. and other contributors [ctb, cph] , Aidan Feldman [ctb, cph] , Zeno Rocha [ctb, cph] , Nick Williams [ctb, cph] , Julian Kuehnel [ctb, cph] , Kiro Risk [ctb, cph] , Khan Academy and other [...truncated...]
Maintainer: Nan Xiao <me@nanx.me>

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Package guideR updated to version 0.6.0 with previous version 0.5.1 dated 2025-10-21

Title: Miscellaneous Statistical Functions Used in 'guide-R'
Description: Companion package for the manual 'guide-R : Guide pour l’analyse de données d’enquêtes avec R' available at <https://larmarange.github.io/guide-R/>. 'guideR' implements miscellaneous functions introduced in 'guide-R' to facilitate statistical analysis and manipulation of survey data.
Author: Joseph Larmarange [aut, cre]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

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Package spcr readmission to version 2.1.1 with previous version 2.1.1 dated 2022-10-16

Title: Sparse Principal Component Regression
Description: The sparse principal component regression is computed. The regularization parameters are optimized by cross-validation.
Author: Shuichi Kawano
Maintainer: Shuichi Kawano <skawano@math.kyushu-u.ac.jp>

This is a re-admission after prior archival of version 2.1.1 dated 2022-10-16

Diff between spcr versions 2.1.1 dated 2022-10-16 and 2.1.1 dated 2025-11-08

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Package sgPLS updated to version 1.8.1 with previous version 1.8 dated 2023-10-05

Title: Sparse Group Partial Least Square Methods
Description: Regularized version of partial least square approaches providing sparse, group, and sparse group versions of partial least square regression models (Liquet, B., Lafaye de Micheaux, P., Hejblum B., Thiebaut, R. (2016) <doi:10.1093/bioinformatics/btv535>). Version of PLS Discriminant analysis is also provided.
Author: Benoit Liquet [aut, cre], Pierre Lafaye de Micheaux [aut], Camilo Broc [aut]
Maintainer: Benoit Liquet <benoit.liquet@univ-pau.fr>

Diff between sgPLS versions 1.8 dated 2023-10-05 and 1.8.1 dated 2025-11-08

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Package rtpcr readmission to version 2.0.3 with previous version 2.0.3 dated 2025-06-04

Title: qPCR Data Analysis
Description: Various methods are employed for statistical analysis and graphical presentation of real-time PCR (quantitative PCR or qPCR) data. 'rtpcr' handles amplification efficiency calculation, statistical analysis and graphical representation of real-time PCR data based on up to two reference genes. By accounting for amplification efficiency values, 'rtpcr' was developed using a general calculation method described by Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods. Based on the experimental conditions, the functions of the 'rtpcr' package use t-test (for experiments with a two-level factor), analysis of variance (ANOVA), analysis of covariance (ANCOVA) or analysis of repeated measure data to calculate the fold change (FC, Delta Delta Ct method) or relative expression (RE, Delta Ct method). The functions further provide standard errors and confidence intervals for means, a [...truncated...]
Author: Ghader Mirzaghaderi [aut, cre, cph]
Maintainer: Ghader Mirzaghaderi <gh.mirzaghaderi@uok.ac.ir>

This is a re-admission after prior archival of version 2.0.3 dated 2025-06-04

Diff between rtpcr versions 2.0.3 dated 2025-06-04 and 2.0.3 dated 2025-11-08

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Package qcQpcr readmission to version 1.5 with previous version 1.5 dated 2018-02-08

Title: Histone ChIP-Seq qPCR Analyzer
Description: Quality control of chromatin immunoprecipitation libraries (ChIP-seq) by quantitative polymerase chain reaction (qPCR). This function calculates Enrichment value with respect to reference for each histone modification (specific to 'Vii7' software <http://www.thermofisher.com/ca/en/home/life-science/pcr/real-time-pcr/real-time-pcr-instruments/viia-7-real-time-pcr-system/viia-7-software.html>). This function is applicable to full panel of histone modifications described by International Human Epigenomic Consortium (IHEC).
Author: Alireza Lorzadeh
Maintainer: Alireza Lorzadeh <alorzadeh@bcgsc.ca>

This is a re-admission after prior archival of version 1.5 dated 2018-02-08

Diff between qcQpcr versions 1.5 dated 2018-02-08 and 1.5 dated 2025-11-08

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Package memshare updated to version 1.0.3.1 with previous version 1.0.3 dated 2025-11-08

Title: Shared Memory Multithreading
Description: This project extends 'R' with a mechanism for efficient parallel data access by utilizing 'C++' shared memory. Large data objects can be accessed and manipulated directly from 'R' without redundant copying, providing both speed and memory efficiency.
Author: Julian Maerte [aut, ctr] , Romain Francois [ctb], Michael Thrun [aut, ths, rev, cph, cre]
Maintainer: Michael Thrun <m.thrun@gmx.net>

Diff between memshare versions 1.0.3 dated 2025-11-08 and 1.0.3.1 dated 2025-11-08

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Package MCMC.qpcr readmission to version 1.2.4 with previous version 1.2.4 dated 2020-03-29

Title: Bayesian Analysis of qRT-PCR Data
Description: Quantitative RT-PCR data are analyzed using generalized linear mixed models based on lognormal-Poisson error distribution, fitted using MCMC. Control genes are not required but can be incorporated as Bayesian priors or, when template abundances correlate with conditions, as trackers of global effects (common to all genes). The package also implements a lognormal model for higher-abundance data and a "classic" model involving multi-gene normalization on a by-sample basis. Several plotting functions are included to extract and visualize results. The detailed tutorial is available here: <https://matzlab.weebly.com/uploads/7/6/2/2/76229469/mcmc.qpcr.tutorial.v1.2.4.pdf>.
Author: Mikhail V. Matz
Maintainer: Mikhail V. Matz <matz@utexas.edu>

This is a re-admission after prior archival of version 1.2.4 dated 2020-03-29

Diff between MCMC.qpcr versions 1.2.4 dated 2020-03-29 and 1.2.4 dated 2025-11-08

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Package lulcc readmission to version 1.0.4 with previous version 1.0.4 dated 2019-03-01

Title: Land Use Change Modelling in R
Description: Classes and methods for spatially explicit land use change modelling in R.
Author: Simon Moulds <sim.moulds@gmail.com>
Maintainer: Simon Moulds <sim.moulds@gmail.com>

This is a re-admission after prior archival of version 1.0.4 dated 2019-03-01

Diff between lulcc versions 1.0.4 dated 2019-03-01 and 1.0.4 dated 2025-11-08

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Package gspcr readmission to version 0.9.5 with previous version 0.9.5 dated 2024-04-12

Title: Generalized Supervised Principal Component Regression
Description: Generalization of supervised principal component regression (SPCR; Bair et al., 2006, <doi:10.1198/016214505000000628>) to support continuous, binary, and discrete variables as outcomes and predictors (inspired by the 'superpc' R package <https://cran.r-project.org/package=superpc>).
Author: Edoardo Costantini [aut, cre]
Maintainer: Edoardo Costantini <costantini.edoardo@yahoo.com>

This is a re-admission after prior archival of version 0.9.5 dated 2024-04-12

Diff between gspcr versions 0.9.5 dated 2024-04-12 and 0.9.5 dated 2025-11-08

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Package freqpcr readmission to version 0.4.0 with previous version 0.4.0 dated 2022-01-27

Title: Estimates Allele Frequency on qPCR DeltaDeltaCq from Bulk Samples
Description: Interval estimation of the population allele frequency from qPCR analysis based on the restriction enzyme digestion (RED)-DeltaDeltaCq method (Osakabe et al. 2017, <doi:10.1016/j.pestbp.2017.04.003>), as well as general DeltaDeltaCq analysis. Compatible with the Cq measurement of DNA extracted from multiple individuals at once, so called "group-testing", this model assumes that the quantity of DNA extracted from an individual organism follows a gamma distribution. Therefore, the point estimate is robust regarding the uncertainty of the DNA yield.
Author: Masaaki Sudo [aut, cre]
Maintainer: Masaaki Sudo <masaaki@sudori.info>

This is a re-admission after prior archival of version 0.4.0 dated 2022-01-27

Diff between freqpcr versions 0.4.0 dated 2022-01-27 and 0.4.0 dated 2025-11-08

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Package ddpcr readmission to version 1.15.2 with previous version 1.15.2 dated 2023-08-20

Title: Analysis and Visualization of Droplet Digital PCR in R and on the Web
Description: An interface to explore, analyze, and visualize droplet digital PCR (ddPCR) data in R. This is the first non-proprietary software for analyzing two-channel ddPCR data. An interactive tool was also created and is available online to facilitate this analysis for anyone who is not comfortable with using R.
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>

This is a re-admission after prior archival of version 1.15.2 dated 2023-08-20

Diff between ddpcr versions 1.15.2 dated 2023-08-20 and 1.15.2 dated 2025-11-08

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Package UniprotR updated to version 2.5.1 with previous version 2.5.0 dated 2025-06-15

Title: Retrieving Information of Proteins from Uniprot
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information, For detailed information kindly read the publication <doi:10.1016/j.jprot.2019.103613>.
Author: Mohamed Soudy [aut, cre], Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>

Diff between UniprotR versions 2.5.0 dated 2025-06-15 and 2.5.1 dated 2025-11-08

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Package jpinfect updated to version 0.1.6 with previous version 0.1.5 dated 2025-10-08

Title: Acquiring and Processing Data from Japan Institute for Health Security
Description: Download and post process the infectious disease case data from Japan Institute for Health Security. Also the package included ready-to-analyse datasets. See the data source website for further details <https://id-info.jihs.go.jp/>.
Author: Tomonori Hoshi [aut, cre], Erina Ishigaki [aut], Satoshi Kaneko [aut]
Maintainer: Tomonori Hoshi <tomonori.hoshi.japan@gmail.com>

Diff between jpinfect versions 0.1.5 dated 2025-10-08 and 0.1.6 dated 2025-11-08

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Package adcontabil updated to version 1.1.0 with previous version 1.0.4 dated 2025-10-03

Title: Accounting Analysis
Description: Provides methods for processing corporate balance sheets with a focus on the Brazilian reporting format. Includes data standardization, classification by accounting categories, and aggregation of values. Supports accounting and financial analyses of companies, improving efficiency and ensuring reproducibility of empirical studies.
Author: Lissandro Costa de Sousa [cre, aut], Francisco Gildemir Ferreira da Silva [ths, aut]
Maintainer: Lissandro Costa de Sousa <lisandrosousa54@gmail.com>

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Package AlphaSimR updated to version 2.1.0 with previous version 2.0.0 dated 2025-09-01

Title: Breeding Program Simulations
Description: The successor to the 'AlphaSim' software for breeding program simulation [Faux et al. (2016) <doi:10.3835/plantgenome2016.02.0013>]. Used for stochastic simulations of breeding programs to the level of DNA sequence for every individual. Contained is a wide range of functions for modeling common tasks in a breeding program, such as selection and crossing. These functions allow for constructing simulations of highly complex plant and animal breeding programs via scripting in the R software environment. Such simulations can be used to evaluate overall breeding program performance and conduct research into breeding program design, such as implementation of genomic selection. Included is the 'Markovian Coalescent Simulator' ('MaCS') for fast simulation of biallelic sequences according to a population demographic history [Chen et al. (2009) <doi:10.1101/gr.083634.108>].
Author: Chris Gaynor [aut, cre] , Gregor Gorjanc [ctb] , John Hickey [ctb] , Daniel Money [ctb] , David Wilson [ctb], Thiago Oliveira [ctb] , Audrey Martin [ctb] , Philip Greenspoon [ctb] , Ros Craddock [ctb] , Jana Obsteter [ctb]
Maintainer: Chris Gaynor <gaynor.robert@hotmail.com>

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Package MBSGS updated to version 1.2.0 with previous version 1.1.0 dated 2017-08-09

Title: Multivariate Bayesian Sparse Group Selection with Spike and Slab
Description: An implementation of a Bayesian sparse group model using spike and slab priors in a regression context. It is designed for regression with a multivariate response variable, but also provides an implementation for univariate response.
Author: Benoit Liquet [aut, cre], Matthew Sutton [aut]
Maintainer: Benoit Liquet <benoit.liquet@univ-pau.fr>

Diff between MBSGS versions 1.1.0 dated 2017-08-09 and 1.2.0 dated 2025-11-08

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Package hemispheR updated to version 1.1.8 with previous version 1.1.7 dated 2025-09-03

Title: Processing Hemispherical Canopy Images
Description: Import and classify canopy fish-eye images, estimate angular gap fraction and derive canopy attributes like leaf area index and openness. Additional information is provided in the study by Chianucci F., Macek M. (2023) <doi:10.1016/j.agrformet.2023.109470>.
Author: Francesco Chianucci [aut, cre] , Martin Macek [aut]
Maintainer: Francesco Chianucci <fchianucci@gmail.com>

Diff between hemispheR versions 1.1.7 dated 2025-09-03 and 1.1.8 dated 2025-11-08

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Package expint updated to version 0.1-9 with previous version 0.1-8 dated 2022-10-28

Title: Exponential Integral and Incomplete Gamma Function
Description: The exponential integrals E_1(x), E_2(x), E_n(x) and Ei(x), and the incomplete gamma function G(a, x) defined for negative values of its first argument. The package also gives easy access to the underlying C routines through an API; see the package vignette for details. A test package included in sub-directory example_API provides an implementation. C routines derived from the GNU Scientific Library <https://www.gnu.org/software/gsl/>.
Author: Vincent Goulet [cre, aut], Gerard Jungman [aut] , Brian Gough [aut] , Jeffrey A. Ryan [aut] , Robert Gentleman [aut] , Ross Ihaka [aut] , R Core Team [aut] , R Foundation [aut]
Maintainer: Vincent Goulet <vincent.goulet@act.ulaval.ca>

Diff between expint versions 0.1-8 dated 2022-10-28 and 0.1-9 dated 2025-11-08

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Package XML updated to version 3.99-0.20 with previous version 3.99-0.19 dated 2025-08-22

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: CRAN Team [ctb, cre] , Duncan Temple Lang [aut] , Tomas Kalibera [ctb], Ivan Krylov [ctb]
Maintainer: CRAN Team <CRAN@r-project.org>

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Package memshare updated to version 1.0.3 with previous version 1.0.2 dated 2025-09-10

Title: Shared Memory Multithreading
Description: This project extends 'R' with a mechanism for efficient parallel data access by utilizing 'C++' shared memory. Large data objects can be accessed and manipulated directly from 'R' without redundant copying, providing both speed and memory efficiency.
Author: Julian Maerte [aut, ctr] , Romain Francois [ctb], Michael Thrun [aut, ths, rev, cph, cre]
Maintainer: Michael Thrun <m.thrun@gmx.net>

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Package FastJM updated to version 1.5.3 with previous version 1.5.2 dated 2025-10-18

Title: Semi-Parametric Joint Modeling of Longitudinal and Survival Data
Description: A joint model for large-scale, competing risks time-to-event data with singular or multiple longitudinal biomarkers, implemented with the efficient algorithms developed by Li and colleagues (2022) <doi:10.1155/2022/1362913> and <doi:10.48550/arXiv.2506.12741>. The time-to-event data is modelled using a (cause-specific) Cox proportional hazards regression model with time-fixed covariates. The longitudinal biomarkers are modelled using a linear mixed effects model. The association between the longitudinal submodel and the survival submodel is captured through shared random effects. It allows researchers to analyze large-scale data to model biomarker trajectories, estimate their effects on event outcomes, and dynamically predict future events from patients’ past histories. A function for simulating survival and longitudinal data for multiple biomarkers is also included alongside built-in datasets.
Author: Shanpeng Li [aut, cre], Ning Li [ctb], Emily Ouyang [ctb], Hong Wang [ctb], Jin Zhou [ctb], Hua Zhou [ctb], Gang Li [ctb]
Maintainer: Shanpeng Li <lishanpeng0913@ucla.edu>

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Package bibliometrix updated to version 5.2.0 with previous version 5.1.1 dated 2025-09-02

Title: Comprehensive Science Mapping Analysis
Description: Tool for quantitative research in scientometrics and bibliometrics. It implements the comprehensive workflow for science mapping analysis proposed in Aria M. and Cuccurullo C. (2017) <doi:10.1016/j.joi.2017.08.007>. 'bibliometrix' provides various routines for importing bibliographic data from 'SCOPUS', 'Clarivate Analytics Web of Science' (<https://www.webofknowledge.com/>), 'Digital Science Dimensions' (<https://www.dimensions.ai/>), 'OpenAlex' (<https://openalex.org/>), 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens' (<https://lens.org>), and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>) databases, performing bibliometric analysis and building networks for co-citation, coupling, scientific collaboration and co-word analysis.
Author: Massimo Aria [cre, aut, cph] , Corrado Cuccurullo [aut]
Maintainer: Massimo Aria <aria@unina.it>

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Package DrDimont updated to version 0.1.6 with previous version 0.1.4 dated 2022-09-23

Title: Drug Response Prediction from Differential Multi-Omics Networks
Description: While it has been well established that drugs affect and help patients differently, personalized drug response predictions remain challenging. Solutions based on single omics measurements have been proposed, and networks provide means to incorporate molecular interactions into reasoning. However, how to integrate the wealth of information contained in multiple omics layers still poses a complex problem. We present a novel network analysis pipeline, DrDimont, Drug response prediction from Differential analysis of multi-omics networks. It allows for comparative conclusions between two conditions and translates them into differential drug response predictions. DrDimont focuses on molecular interactions. It establishes condition-specific networks from correlation within an omics layer that are then reduced and combined into heterogeneous, multi-omics molecular networks. A novel semi-local, path-based integration step ensures integrative conclusions. Differential predictions are derived fro [...truncated...]
Author: Katharina Baum [cre] , Pauline Hiort [aut] , Julian Hugo [aut] , Spoorthi Kashyap [aut] , Nataniel Mueller [aut] , Justus Zeinert [aut]
Maintainer: Katharina Baum <katharina.baum@fu-berlin.de>

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Package extraSuperpower (with last version 1.6.0) was removed from CRAN

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

2025-10-24 1.6.0
2025-10-08 1.5.5
2025-08-25 1.5.4
2025-08-18 1.5.3
2025-07-24 1.5.2
2025-07-15 1.5.0
2025-07-07 1.4.4
2025-07-07 1.4.5

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Package nhstplot updated to version 1.4.1 with previous version 1.4.0 dated 2025-07-30

Title: Plot Null Hypothesis Significance Tests
Description: Illustrate graphically the most common Null Hypothesis Significance Testing procedures. More specifically, this package provides functions to plot Chi-Squared, F, t (one- and two-tailed) and z (one- and two-tailed) tests, by plotting the probability density under the null hypothesis as a function of the different test statistic values. Although highly flexible (color theme, fonts, etc.), only the minimal number of arguments (observed test statistic, degrees of freedom) are necessary for a clear and useful graph to be plotted, with the observed test statistic and the p value, as well as their corresponding value labels. The axes are automatically scaled to present the relevant part and the overall shape of the probability density function. This package is especially intended for education purposes, as it provides a helpful support to help explain the Null Hypothesis Significance Testing process, its use and/or shortcomings.
Author: Nils Myszkowski [aut, cre]
Maintainer: Nils Myszkowski <nilsmyszkowskiscience@gmail.com>

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Package scCustomize updated to version 3.2.1 with previous version 3.2.0 dated 2025-09-10

Title: Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing
Description: Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using 'R'. 'scCustomize' aims to provide 1) Customized visualizations for aid in ease of use and to create more aesthetic and functional visuals. 2) Improve speed/reproducibility of common tasks/pieces of code in scRNA-seq analysis with a single or group of functions. For citation please use: Marsh SE (2021) "Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing" <doi:10.5281/zenodo.5706430> RRID:SCR_024675.
Author: Samuel Marsh [aut, cre] , Ming Tang [ctb], Velina Kozareva [ctb], Lucas Graybuck [ctb], Zoe Clarke [ctb]
Maintainer: Samuel Marsh <sccustomize@gmail.com>

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Package molaR updated to version 6.0 with previous version 5.3 dated 2023-01-26

Title: Dental Surface Complexity Measurement Tools
Description: Surface topography calculations of Dirichlet's normal energy, relief index, surface slope, and orientation patch count for teeth using scans of enamel caps. Importantly, for the relief index and orientation patch count calculations to work, the scanned tooth files must be oriented with the occlusal plane parallel to the x and y axes, and perpendicular to the z axis. The files should also be simplified, and smoothed in some other software prior to uploading into R.
Author: James D. Pampush [aut, cre, cph], Paul E. Morse [aut, cph], Alexander Q. Vining [aut, cph], Edward Fuselier [aut, cph]
Maintainer: James D. Pampush <jdpampush@gmail.com>

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Package prome updated to version 3.0.1.5 with previous version 2.0.1.9 dated 2025-10-08

Title: Patient-Reported Outcome Data Analysis with Stan
Description: Algorithms and subroutines for patient-reported outcome data analysis.
Author: Bin Wang [aut, cre]
Maintainer: Bin Wang <bwang831@gmail.com>

Diff between prome versions 2.0.1.9 dated 2025-10-08 and 3.0.1.5 dated 2025-11-08

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Package condathis updated to version 0.1.3 with previous version 0.1.2 dated 2025-06-02

Title: Run Any CLI Tool on a 'Conda' Environment
Description: Simplifies the execution of command line interface (CLI) tools within isolated and reproducible environments. It enables users to effortlessly manage 'Conda' environments, execute command line tools, handle dependencies, and ensure reproducibility in their data analysis workflows.
Author: Lucio Queiroz [aut, cre, cph] , Claudio Zanettini [aut, ctb]
Maintainer: Lucio Queiroz <luciorqueiroz@gmail.com>

Diff between condathis versions 0.1.2 dated 2025-06-02 and 0.1.3 dated 2025-11-08

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Package canvasXpress updated to version 1.58.7 with previous version 1.57.4 dated 2025-07-22

Title: Visualization Package for CanvasXpress in R
Description: Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <https://www.canvasxpress.org> for more information.
Author: Isaac Neuhaus [aut], Connie Brett [aut, cre]
Maintainer: Connie Brett <connie@aggregate-genius.com>

Diff between canvasXpress versions 1.57.4 dated 2025-07-22 and 1.58.7 dated 2025-11-08

 DESCRIPTION                                           |    6 ++--
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2020-11-12 0.6.3
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Package wizaRdry updated to version 0.5.0 with previous version 0.2.6 dated 2025-06-17

Title: A Magical Framework for Collaborative & Reproducible Data Analysis
Description: A comprehensive data analysis framework for NIH-funded research that streamlines workflows for both data cleaning and preparing and modifying NIH Data Archive ('NDA') data structures and submission templates. Provides unified access to multiple data sources ('REDCap', 'MongoDB', 'Qualtrics', 'SQL', 'ORACLE') through interfaces to their APIs, with specialized functions for data cleaning, filtering, merging, and parsing. Features automatic validation, field harmonization, and memory-aware processing to enhance reproducibility in multi-site collaborative research as described in Mittal et al. (2021) <doi:10.20900/jpbs.20210011>.
Author: Joshua G. Kenney [aut, cre], Trevor F. Williams [aut], Minerva K. Pappu [aut], Michael J. Spilka [aut], Danielle N. Pratt [ctb], Victor J. Pokorny [ctb], Santiago Castiello de Obeso [ctb], Praveen Suthaharan [ctb], Christian R. Horgan [ctb]
Maintainer: Joshua G. Kenney <joshua.kenney@yale.edu>

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Package logib updated to version 0.2.1 with previous version 0.2.0 dated 2024-12-20

Title: Salary Analysis by the Swiss Federal Office for Gender Equality
Description: Implementation of the Swiss Confederation's standard analysis model for salary analyses <www.ebg.admin.ch/en/equal-pay-analysis-with-logib> in R. The analysis is run at company-level and the model is intended for medium-sized and large companies. It can technically be used with 50 or more employees (apprentices, trainees/interns and expats are not included in the analysis). Employees with at least 100 employees are required by the Gender Equality Act to conduct an equal pay analysis. This package allows users to run the equal salary analysis in R, providing additional transparency with respect to the methodology and simple automation possibilities.
Author: Marc Stoeckli [aut, cre], Silvia Strub [ctb], Jonathan Chassot [aut], Jeremy Kolly [aut], Federal Office for Gender Equality of Switzerland [cph, fnd]
Maintainer: Marc Stoeckli <marc.stoeckli@ebg.admin.ch>

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Package gFormulaMI updated to version 1.0.3 with previous version 1.0.2 dated 2025-07-03

Title: G-Formula for Causal Inference via Multiple Imputation
Description: Implements the G-Formula method for causal inference with time-varying treatments and confounders using Bayesian multiple imputation methods, as described by Bartlett et al (2025) <doi:10.1177/09622802251316971>. It creates multiple synthetic imputed datasets under treatment regimes of interest using the 'mice' package. These can then be analysed using rules developed for analysing multiple synthetic datasets.
Author: Jonathan Bartlett [aut, cre] , Camila Olarte Parra [ctb] , Erik van Zwet [ctb]
Maintainer: Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk>

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Package rbibutils updated to version 2.4 with previous version 2.3 dated 2024-10-04

Title: Read 'Bibtex' Files and Convert Between Bibliography Formats
Description: Read and write 'Bibtex' files. Convert between bibliography formats, including 'Bibtex', 'Biblatex', 'PubMed', 'Endnote', and 'Bibentry'. Includes a port of the 'bibutils' utilities by Chris Putnam <https://sourceforge.net/projects/bibutils/>. Supports all bibliography formats and character encodings implemented in 'bibutils'.
Author: Georgi N. Boshnakov [aut, cre] , comment.ORCID: 0000-0003-2839-346X), Chris Putman [aut] , Richard Mathar [ctb] , Johannes Wilm [ctb] , R Core Team [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package mgcv updated to version 1.9-4 with previous version 1.9-3 dated 2025-04-04

Title: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
Description: Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Cross Validation and similar, or using iterated nested Laplace approximation for fully Bayesian inference. See Wood (2025) <doi:10.1146/annurev-statistics-112723-034249> for an overview. Includes a gam() function, a wide variety of smoothers, 'JAGS' support and distributions beyond the exponential family.
Author: Simon Wood [aut, cre]
Maintainer: Simon Wood <simon.wood@r-project.org>

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Package PiC updated to version 1.2.7 with previous version 1.2.6 dated 2025-10-11

Title: Pointcloud Interactive Computation
Description: Provides advanced algorithms for analyzing pointcloud data from terrestrial laser scanner in forestry applications. Key features include fast voxelization of large datasets; segmentation of point clouds into forest floor, understorey, canopy, and wood components. The package enables efficient processing of large-scale forest pointcloud data, offering insights into forest structure, connectivity, and fire risk assessment. Algorithms to analyze pointcloud data (.xyz input file). For more details, see Ferrara & Arrizza (2025) <https://hdl.handle.net/20.500.14243/533471>. For single tree segmentation details, see Ferrara et al. (2018) <doi:10.1016/j.agrformet.2018.04.008>.
Author: Roberto Ferrara [aut, cre] , Stefano Arrizza [ctb]
Maintainer: Roberto Ferrara <roberto.ferrara@cnr.it>

Diff between PiC versions 1.2.6 dated 2025-10-11 and 1.2.7 dated 2025-11-07

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Package OpenMx updated to version 2.22.10 with previous version 2.22.9 dated 2025-08-20

Title: Extended Structural Equation Modelling
Description: Create structural equation models that can be manipulated programmatically. Models may be specified with matrices or paths (LISREL or RAM) Example models include confirmatory factor, multiple group, mixture distribution, categorical threshold, modern test theory, differential Fit functions include full information maximum likelihood, maximum likelihood, and weighted least squares. equations, state space, and many others. Support and advanced package binaries available at <https://openmx.ssri.psu.edu>. The software is described in Neale, Hunter, Pritikin, Zahery, Brick, Kirkpatrick, Estabrook, Bates, Maes, & Boker (2016) <doi:10.1007/s11336-014-9435-8>.
Author: Steven M. Boker [aut], Michael C. Neale [aut], Hermine H. Maes [aut], Michael J. Wilde [ctb], Michael Spiegel [aut], Timothy R. Brick [aut], Ryne Estabrook [aut], Timothy C. Bates [aut], Paras Mehta [ctb], Timo von Oertzen [ctb], Ross J. Gore [aut], [...truncated...]
Maintainer: Robert M. Kirkpatrick <rkirkpatrick2@vcu.edu>

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Package glm.predict updated to version 4.3-2 with previous version 4.3-0 dated 2024-01-15

Title: Predicted Values and Discrete Changes for Regression Models
Description: Functions to calculate predicted values and the difference between the two cases with confidence interval for lm() [linear model], glm() [generalized linear model], glm.nb() [negative binomial model], polr() [ordinal logistic model], vglm() [generalized ordinal logistic model], multinom() [multinomial model], tobit() [tobit model], svyglm() [survey-weighted generalised linear models] and lmer() [linear multilevel models] using Monte Carlo simulations or bootstrap. Reference: Bennet A. Zelner (2009) <doi:10.1002/smj.783>.
Author: Benjamin E. Schlegel [aut, cre]
Maintainer: Benjamin E. Schlegel <kontakt@benjaminschlegel.ch>

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Package GHRmodel updated to version 0.1.1 with previous version 0.1.0 dated 2025-10-21

Title: Bayesian Hierarchical Modelling of Spatio-Temporal Health Data
Description: Supports modeling health outcomes using Bayesian hierarchical spatio-temporal models with complex covariate effects (e.g., linear, non-linear, interactions, distributed lag linear and non-linear models) in the 'INLA' framework. It is designed to help users identify key drivers and predictors of disease risk by enabling streamlined model exploration, comparison, and visualization of complex covariate effects. See an application of the modelling framework in Lowe, Lee, O'Reilly et al. (2021) <doi:10.1016/S2542-5196(20)30292-8>.
Author: Carles Mila [aut, cre] , Giovenale Moirano [aut] , Anna B. Kawiecki [aut] , Rachel Lowe [aut]
Maintainer: Carles Mila <carles.milagarcia@bsc.es>

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Package funMoDisco updated to version 1.1.0 with previous version 1.0.0 dated 2025-04-15

Title: Motif Discovery in Functional Data
Description: Efficiently implementing two complementary methodologies for discovering motifs in functional data: ProbKMA and FunBIalign. Cremona and Chiaromonte (2023) "Probabilistic K-means with Local Alignment for Clustering and Motif Discovery in Functional Data" <doi:10.1080/10618600.2022.2156522> is a probabilistic K-means algorithm that leverages local alignment and fuzzy clustering to identify recurring patterns (candidate functional motifs) across and within curves, allowing different portions of the same curve to belong to different clusters. It includes a family of distances and a normalization to discover various motif types and learns motif lengths in a data-driven manner. It can also be used for local clustering of misaligned data. Di Iorio, Cremona, and Chiaromonte (2023) "funBIalign: A Hierarchical Algorithm for Functional Motif Discovery Based on Mean Squared Residue Scores" <doi:10.48550/arXiv.2306.04254> applies hierarchical agglomerative clustering with a functional g [...truncated...]
Author: Marzia Angela Cremona [aut], Francesca Chiaromonte [aut], Jacopo Di Iorio [aut, cre], Niccolo Feresini [aut], Riccardo Lazzarini [aut]
Maintainer: Jacopo Di Iorio <jacopo.di.iorio@emory.edu>

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Package asremlPlus updated to version 4.4.55 with previous version 4.4.51 dated 2025-08-21

Title: Augments 'ASReml-R' in Fitting Mixed Models and Packages Generally in Exploring Prediction Differences
Description: Assists in automating the selection of terms to include in mixed models when 'asreml' is used to fit the models. Procedures are available for choosing models that conform to the hierarchy or marginality principle, for fitting and choosing between two-dimensional spatial models using correlation, natural cubic smoothing spline and P-spline models. A history of the fitting of a sequence of models is kept in a data frame. Also used to compute functions and contrasts of, to investigate differences between and to plot predictions obtained using any model fitting function. The content falls into the following natural groupings: (i) Data, (ii) Model modification functions, (iii) Model selection and description functions, (iv) Model diagnostics and simulation functions, (v) Prediction production and presentation functions, (vi) Response transformation functions, (vii) Object manipulation functions, and (viii) Miscellaneous functions (for further details see 'asremlPlus-package' in help). The [...truncated...]
Author: Chris Brien [aut, cre]
Maintainer: Chris Brien <chris.brien@adelaide.edu.au>

Diff between asremlPlus versions 4.4.51 dated 2025-08-21 and 4.4.55 dated 2025-11-07

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Package visOmopResults updated to version 1.4.0 with previous version 1.3.1 dated 2025-10-09

Title: Graphs and Tables for OMOP Results
Description: Provides methods to transform omop_result objects into formatted tables and figures, facilitating the visualisation of study results working with the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
Author: Marti Catala [aut] , Nuria Mercade-Besora [aut, cre] , Yuchen Guo [ctb] , Elin Rowlands [ctb] , Marta Alcalde-Herraiz [ctb] , Edward Burn [ctb]
Maintainer: Nuria Mercade-Besora <nuria.mercadebesora@ndorms.ox.ac.uk>

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Package myTAI readmission to version 2.3.3 with previous version 0.9.3 dated 2021-02-24

Title: Evolutionary Transcriptomics
Description: Investigate the evolution of biological processes by capturing evolutionary signatures in transcriptomes (Drost et al. (2018) <doi:10.1093/bioinformatics/btx835>). This package aims to provide a transcriptome analysis environment to quantify the average evolutionary age of genes contributing to a transcriptome of interest.
Author: Hajk-Georg Drost [aut, cre] , Stefan Manolache [aut, ctb] , Jaruwatana Sodai Lotharukpong [aut, ctb] , Nikola Kalabova [aut, ctb] , Filipa Martins Costa [aut, ctb], Kristian K Ullrich [aut, ctb]
Maintainer: Hajk-Georg Drost <hajk-georg.drost@tuebingen.mpg.de>

This is a re-admission after prior archival of version 0.9.3 dated 2021-02-24

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Package gpboost updated to version 1.6.4 with previous version 1.6.3 dated 2025-10-10

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 1.6.3 dated 2025-10-10 and 1.6.4 dated 2025-11-07

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 README.md                                                       |    4 
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 man/GPModel.Rd                                                  |    5 
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 src/c_api.cpp                                                   |   34 
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More information about gpboost at CRAN
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New package GALAHAD with initial version 1.0.0
Package: GALAHAD
Title: Geometry-Adaptive Lyapunov-Assured Hybrid Optimizer
Version: 1.0.0
Author: Richard A. Feiss [aut, cre]
Maintainer: Richard A. Feiss <feiss026@umn.edu>
Description: Implements the GALAHAD algorithm (Geometry-Adaptive 'Lyapunov'-Assured Hybrid Optimizer), combining 'Riemannian' metrics, 'Lyapunov' stability checks, and trust-region methods for stable optimization of mixed-geometry parameters. Designed for biological modeling (germination, dose-response, survival) where rates, concentrations, and unconstrained variables coexist. Developed at the Minnesota Center for Prion Research and Outreach (MNPRO), University of Minnesota. Based on Conn et al. (2000) <doi:10.1137/1.9780898719857>, Amari (1998) <doi:10.1162/089976698300017746>, Beck & Teboulle (2003) <doi:10.1016/S0167-6377(02)00231-6>, Nesterov (2017) <https://www.jstor.org/stable/resrep30722>, and Walne et al. (2020) <doi:10.1002/agg2.20098>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
BuildResaveData: true
Packaged: 2025-11-04 00:52:03 UTC; feiss026
Repository: CRAN
Date/Publication: 2025-11-07 14:10:12 UTC

More information about GALAHAD at CRAN
Permanent link

Package worldmet updated to version 0.10.2 with previous version 0.10.1 dated 2025-08-20

Title: Import Surface Meteorological Data from NOAA Integrated Surface Database (ISD)
Description: Functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Integrated Surface Database (ISD, see <https://www.ncei.noaa.gov/products/land-based-station/integrated-surface-database>).
Author: David Carslaw [aut, cre] , Jack Davison [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

Diff between worldmet versions 0.10.1 dated 2025-08-20 and 0.10.2 dated 2025-11-07

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More information about worldmet at CRAN
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Package verdata updated to version 1.0.1 with previous version 1.0.0 dated 2025-04-24

Title: Analyze Data from the Truth Commission in Colombia
Description: Facilitates use and analysis of data about the armed conflict in Colombia resulting from the joint project between La Jurisdicción Especial para la Paz (JEP), La Comisión para el Esclarecimiento de la Verdad, la Convivencia y la No repetición (CEV), and the Human Rights Data Analysis Group (HRDAG). The data are 100 replicates from a multiple imputation through chained equations as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. With the replicates the user can examine four human rights violations that occurred in the Colombian conflict accounting for the impact of missing fields and fully missing observations.
Author: Maria Gargiulo [aut, cre], Maria Juliana Duran [aut], Paula Andrea Amado [aut], Patrick Ball [rev]
Maintainer: Maria Gargiulo <mariag@hrdag.org>

Diff between verdata versions 1.0.0 dated 2025-04-24 and 1.0.1 dated 2025-11-07

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Package uci updated to version 0.3.1 with previous version 0.3.0 dated 2023-09-23

Title: Urban Centrality Index
Description: Calculates the Urban Centrality Index (UCI) as in Pereira et al., (2013) <doi:10.1111/gean.12002>. The UCI measures the extent to which the spatial organization of a city or region varies from extreme polycentric to extreme monocentric in a continuous scale from 0 to 1. Values closer to 0 indicate more polycentric patterns and values closer to 1 indicate a more monocentric urban form.
Author: Rafael H. M. Pereira [aut, cre]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between uci versions 0.3.0 dated 2023-09-23 and 0.3.1 dated 2025-11-07

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New package tout with initial version 1.0.3
Package: tout
Title: Optimal Sample Size and Progression Criteria for Three-Outcome Trials
Version: 1.0.3
Description: Find the optimal decision rules (AKA progression criteria) and sample size for clinical trials with three (stop/pause/go) outcomes. Both binary and continuous endpoints can be accommodated, as can cases where an adjustment is planned following a pause outcome. For more details see Wilson et al. (2024) <doi:10.1186/s12874-024-02351-x>.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
Encoding: UTF-8
URL: https://github.com/DTWilson/tout, https://dtwilson.github.io/tout/
BugReports: https://github.com/DTWilson/tout/issues
NeedsCompilation: no
Packaged: 2025-11-05 13:16:03 UTC; meddwilb
Author: Duncan Wilson [aut, cre, cph]
Maintainer: Duncan Wilson <d.t.wilson@leeds.ac.uk>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:02 UTC

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New package toscca with initial version 0.1.0
Package: toscca
Title: Thresholded Ordered Sparse CCA
Version: 0.1.0
Description: Performs Thresholded Ordered Sparse Canonical Correlation Analysis (CCA). For more details see Senar, N. (2024) <doi:10.1093/bioadv/vbae021> and Senar, N. et al. (2025) <doi:10.48550/arXiv.2503.15140>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ClusterR, RColorBrewer, cluster, knitr, rmarkdown, testthat (>= 3.0.0)
Imports: doParallel, foreach, parallel, forecast, ggplot2, lme4, scales, graphics, stats, utils, grDevices, mcompanion, EnvStats, MASS
Depends: R (>= 3.5)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-05 11:53:54 UTC; PC
Author: Nuria Senar [aut, cre]
Maintainer: Nuria Senar <n.senarvilladeamigo@amsterdamumc.nl>
Repository: CRAN
Date/Publication: 2025-11-07 13:40:02 UTC

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Package SurrogateOutcome updated to version 1.2 with previous version 1.1 dated 2021-11-15

Title: Estimation of the Proportion of Treatment Effect Explained by Surrogate Outcome Information
Description: Estimates the proportion of treatment effect on a censored primary outcome that is explained by the treatment effect on a censored surrogate outcome/event. All methods are described in detail in Parast, et al (2020) "Assessing the Value of a Censored Surrogate Outcome" <doi:10.1007/s10985-019-09473-1> and Wang et al (2025) "Model-free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival" <doi:10.1002/sim.70268>. A tutorial for this package can be found at <https://www.laylaparast.com/surrogateoutcome>.
Author: Layla Parast [aut, cre], Xuan Wang [aut]
Maintainer: Layla Parast <parast@austin.utexas.edu>

Diff between SurrogateOutcome versions 1.1 dated 2021-11-15 and 1.2 dated 2025-11-07

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New package rocrateR with initial version 0.0.1
Package: rocrateR
Title: RO-Crate R Package Wrapper
Version: 0.0.1
Description: R package for creating, manipulating and reading RO-Crates. Latest supported version of the specification: <https://w3id.org/ro/crate/1.2/>.
License: MIT + file LICENSE
Suggests: spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-GB
URL: https://github.com/ResearchObject/ro-crate-r/
BugReports: https://github.com/ResearchObject/ro-crate-r/issues/
Imports: digest, jsonlite, tibble, zip
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-11-05 13:21:05 UTC; robertovillegas-diaz
Author: Roberto Villegas-Diaz [aut, cre] , Research Object community [cph]
Maintainer: Roberto Villegas-Diaz <r.villegas-diaz@outlook.com>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:09 UTC

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New package repsim with initial version 0.1.0
Package: repsim
Title: Measures of Representational Similarity Across Models
Version: 0.1.0
Description: Provides a collection of methods for quantifying representational similarity between learned features or multivariate data. The package offers an efficient 'C++' backend, designed for applications in machine learning, computational neuroscience, and multivariate statistics. See Klabunde et al. (2025) <doi:10.1145/3728458> for a comprehensive overview of the topic.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: C++17
Imports: Rcpp (>= 1.1.0), Rdpack
LinkingTo: Rcpp, RcppEigen
NeedsCompilation: yes
Packaged: 2025-11-04 19:45:56 UTC; kyou
Author: Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:14 UTC

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New package randotools with initial version 0.2.3
Package: randotools
Title: Create Randomization Lists
Version: 0.2.3
Description: Randomization lists are an integral component of randomized clinical trials. 'randotools' provides tools to easily create such lists.
License: GPL (>= 3)
URL: https://ctu-bern.github.io/randotools/, https://github.com/CTU-Bern/randotools
BugReports: https://github.com/CTU-Bern/randotools/issues
Encoding: UTF-8
Imports: cli, dplyr, glue, ggplot2, patchwork, purrr, rlang
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
Depends: R (>= 4.1)
LazyData: true
NeedsCompilation: no
Packaged: 2025-11-05 10:55:41 UTC; haynes
Author: Alan G Haynes [aut, cre]
Maintainer: Alan G Haynes <alan.haynes@unibe.ch>
Repository: CRAN
Date/Publication: 2025-11-07 13:40:07 UTC

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New package PNC with initial version 0.1.0
Package: PNC
Title: Phylogenetic Niche Conservatism Analysis for Ecological Communities
Version: 0.1.0
Date: 2025-11-5
Maintainer: Yan He <heyan@njfu.edu.cn>
Description: Provides functions for testing phylogenetic niche conservatism, a key prerequisite in community assembly studies. The package integrates global functional trait data across major taxonomic groups and implements methods such as Pagel's Lambda and Blomberg's K to quantify phylogenetic signals in ecological communities. Methods are described in Münkemüller et al. (2012) <doi:10.1111/j.2041-210X.2012.00196.x>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ape, phytools, stats, utils, geiger
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 01:15:58 UTC; Administrator
Author: Yan He [aut, cre], Yu Xia [aut], Rui Yang [aut], Lingfeng Mao [aut]
Repository: CRAN
Date/Publication: 2025-11-07 13:40:13 UTC

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New package opImputation with initial version 0.6
Package: opImputation
Title: Optimal Selection of Imputation Methods for Pain-Related Numerical Data
Version: 0.6
Description: A model-agnostic framework for selecting dataset-specific imputation methods for missing values in numerical data related to pain. Lotsch J, Ultsch A (2025) "A model-agnostic framework for dataset-specific selection of missing value imputation methods in pain-related numerical data" Canadian Journal of Pain (in minor revision).
Depends: R (>= 3.5.0)
Imports: parallel, Rfit, methods, stats, caret, ABCanalysis, ggplot2, future, future.apply, progressr, missForest, utils, mice, miceRanger, multiUS, Amelia, mi, reshape2, DataVisualizations, abind, cowplot, twosamples, ggh4x, ggrepel, tools
LazyData: true
Suggests: testthat (>= 3.0.0)
License: GPL-3
URL: https://github.com/JornLotsch/opImputation
Encoding: UTF-8
Date: 2025-11-04
NeedsCompilation: no
Packaged: 2025-11-04 12:22:21 UTC; joern
Author: Jorn Lotsch [aut, cre] , Alfred Ultsch [aut]
Maintainer: Jorn Lotsch <j.lotsch@em.uni-frankfurt.de>
Repository: CRAN
Date/Publication: 2025-11-07 13:50:02 UTC

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New package hashmapR with initial version 1.0.0
Package: hashmapR
Title: Fast, Vectorized Hashmap
Version: 1.0.0
Description: A fast, vectorized hashmap that is built on top of C++ std::unordered_map <https://en.cppreference.com/w/cpp/container/unordered_map.html>. The map can hold any R object as key / value as long as it is serializable and supports vectorized insertion, lookup, and deletion.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/svensglinz/hashmapR
Suggests: testthat (>= 3.0.0)
SystemRequirements: C++20
NeedsCompilation: yes
Packaged: 2025-11-04 10:00:47 UTC; sven
Author: Sven Glinz [aut, cre]
Maintainer: Sven Glinz <svenglinz@proton.me>
Repository: CRAN
Date/Publication: 2025-11-07 14:00:20 UTC

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Package fEGarch updated to version 1.0.3 with previous version 1.0.2 dated 2025-09-11

Title: SM/LM EGARCH & GARCH, VaR/ES Backtesting & Dual LM Extensions
Description: Implement and fit a variety of short-memory (SM) and long-memory (LM) models from a very broad family of exponential generalized autoregressive conditional heteroskedasticity (EGARCH) models, such as a MEGARCH (modified EGARCH), FIEGARCH (fractionally integrated EGARCH), FIMLog-GARCH (fractionally integrated modulus Log-GARCH), and more. The FIMLog-GARCH as part of the EGARCH family is discussed in Feng et al. (2023) <https://econpapers.repec.org/paper/pdnciepap/156.htm>. For convenience and the purpose of comparison, a variety of other popular SM and LM GARCH-type models, like an APARCH model, a fractionally integrated APARCH (FIAPARCH) model, standard GARCH and fractionally integrated GARCH (FIGARCH) models, GJR-GARCH and FIGJR-GARCH models, TGARCH and FITGARCH models, are implemented as well as dual models with simultaneous modelling of the mean, including dual long-memory models with a fractionally integrated autoregressive moving average (FARIMA) model in the mean and a long [...truncated...]
Author: Dominik Schulz [aut, cre] , Yuanhua Feng [aut] , Christian Peitz [aut] ), Oliver Kojo Ayensu [aut] , Thomas Gries [ctb] , Sikandar Siddiqui [ctb] , Shujie Li [ctb]
Maintainer: Dominik Schulz <dominik.schulz@uni-paderborn.de>

Diff between fEGarch versions 1.0.2 dated 2025-09-11 and 1.0.3 dated 2025-11-07

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 fEGarch-1.0.3/fEGarch/man/fitted.Rd                                |   72 ++---
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 fEGarch-1.0.3/fEGarch/man/plot.Rd                                  |   42 +--
 fEGarch-1.0.3/fEGarch/man/residuals.Rd                             |   66 ++---
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 40 files changed, 870 insertions(+), 881 deletions(-)

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New package fasttreeid with initial version 1.0.0
Package: fasttreeid
Title: Identifies Parameters in a Tree-Shaped SCM
Version: 1.0.0
Description: Implements the algorithm by Briefs and Bläser (2025) <https://openreview.net/forum?id=8PHOPPH35D>, based on the approach of Gupta and Bläser (2024) <doi:10.1609/aaai.v38i18.30023>. It determines, for a structural causal model (SCM) whose directed edges form a tree, whether each parameter is unidentifiable, 1-identifiable or 2-identifiable (other cases cannot occur), using a randomized algorithm with provable running time O(n^3 log^2 n).
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp
Suggests: gmp, testthat
LinkingTo: Rcpp
URL: https://github.com/yasminebriefs/FastTreeID
BugReports: https://github.com/yasminebriefs/FastTreeID/issues
NeedsCompilation: yes
Packaged: 2025-11-05 07:24:49 UTC; yasmine
Author: Yasmine Briefs [aut, cre], Markus Blaeser [aut]
Maintainer: Yasmine Briefs <ybriefs@mpi-inf.mpg.de>
Repository: CRAN
Date/Publication: 2025-11-07 13:50:07 UTC

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Package ecorisk updated to version 0.2.1 with previous version 0.1.1 dated 2025-05-27

Title: Risk Assessments for Ecosystems or Ecosystem Components
Description: Implementation of a modular framework for ecosystem risk assessments, combining existing risk assessment approaches tailored to semi-quantitative and quantitative analyses.
Author: Helene Gutte [aut, cre, cph] , Saskia A. Otto [aut]
Maintainer: Helene Gutte <helenegutte96@gmail.com>

Diff between ecorisk versions 0.1.1 dated 2025-05-27 and 0.2.1 dated 2025-11-07

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New package EstemPMM with initial version 0.1.1
Package: EstemPMM
Title: Polynomial Maximization Method for Non-Gaussian Regression
Version: 0.1.1
Date: 2025-10-22
Description: Implements the Polynomial Maximization Method ('PMM') for parameter estimation in linear and time series models when error distributions deviate from normality. The 'PMM2' variant achieves lower variance parameter estimates compared to ordinary least squares ('OLS') when errors exhibit significant skewness. Includes methods for linear regression, 'AR'/'MA'/'ARMA'/'ARIMA' models, and bootstrap inference. Methodology described in Zabolotnii, Warsza, and Tkachenko (2018) <doi:10.1007/978-3-319-77179-3_75>, Zabolotnii, Tkachenko, and Warsza (2022) <doi:10.1007/978-3-031-03502-9_37>, and Zabolotnii, Tkachenko, and Warsza (2023) <doi:10.1007/978-3-031-25844-2_21>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: methods, stats, graphics, utils
Suggests: dplyr, ggplot2, gridExtra, testthat (>= 3.0.0), rmarkdown, knitr, MASS
LazyData: true
URL: https://github.com/SZabolotnii/EstemPMM
BugReports: https://github.com/SZabolotnii/EstemPMM/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-04 19:50:39 UTC; serhiizabolotnii
Author: Serhii Zabolotnii [aut, cre]
Maintainer: Serhii Zabolotnii <zabolotniua@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-07 13:50:12 UTC

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New package aplms with initial version 0.1.0
Package: aplms
Title: Additive Partial Linear Models with Symmetric Autoregressive Errors
Version: 0.1.0
Maintainer: Shu Wei Chou-Chen <shuwei.chou@ucr.ac.cr>
Description: Set of tools for fitting the additive partial linear models with symmetric autoregressive errors of order p, or APLMS-AR(p). This setup enables the modeling of a time series response variable using linear and nonlinear structures of a set of explanatory variables, with nonparametric components approximated by natural cubic splines or P-splines. It also accounts for autoregressive error terms with distributions that have lighter or heavier tails than the normal distribution. The package includes various error distributions, such as normal, generalized normal, Student's t, generalized Student's t, power-exponential, and Cauchy distributions. Chou-Chen, S.W., Oliveira, R.A., Raicher, I., Gilberto A. Paula (2024) <doi:10.1007/s00362-024-01590-w>.
License: GPL-2
URL: https://github.com/shuwei325/aplms
BugReports: https://github.com/shuwei325/aplms/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), mgcv
Imports: MASS, Matrix, rlist, stats, methods, psych, rmutil
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-05 13:29:35 UTC; shuwe
Author: Shu Wei Chou-Chen [aut, cre, cph] , Rodrigo A. Oliveira [aut] , Gilberto A. Paula [aut] , Sebastian Sanchez Sandi [ctb]
Repository: CRAN
Date/Publication: 2025-11-07 14:00:25 UTC

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Package move2 updated to version 0.4.5 with previous version 0.4.4 dated 2025-02-10

Title: Processing and Analysing Animal Trajectories
Description: Tools to handle, manipulate and explore trajectory data, with an emphasis on data from tracked animals. The package is designed to support large studies with several million location records and keep track of units where possible. Data import directly from 'movebank' <https://www.movebank.org/cms/movebank-main> and files is facilitated.
Author: Bart Kranstauber [aut, cre] , Kamran Safi [aut] , Anne K. Scharf [aut]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

Diff between move2 versions 0.4.4 dated 2025-02-10 and 0.4.5 dated 2025-11-07

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 inst/doc/trajectory_analysis.html            |   19 ++-
 tests/testthat/test-mt_read_speed.R          |   10 +
 tests/testthat/test-mt_sim_brownian_motion.R |  137 ++++++++++++++++++++-------
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 15 files changed, 235 insertions(+), 142 deletions(-)

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Package mlr3tuning updated to version 1.5.0 with previous version 1.4.0 dated 2025-06-04

Title: Hyperparameter Optimization for 'mlr3'
Description: Hyperparameter optimization package of the 'mlr3' ecosystem. It features highly configurable search spaces via the 'paradox' package and finds optimal hyperparameter configurations for any 'mlr3' learner. 'mlr3tuning' works with several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). Moreover, it can automatically optimize learners and estimate the performance of optimized models with nested resampling.
Author: Marc Becker [cre, aut] , Michel Lang [aut] , Jakob Richter [aut] , Bernd Bischl [aut] , Daniel Schalk [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package smmR updated to version 1.0.5 with previous version 1.0.3 dated 2021-08-03

Title: Simulation, Estimation and Reliability of Semi-Markov Models
Description: Performs parametric and non-parametric estimation and simulation for multi-state discrete-time semi-Markov processes. For the parametric estimation, several discrete distributions are considered for the sojourn times: Uniform, Geometric, Poisson, Discrete Weibull and Negative Binomial. The non-parametric estimation concerns the sojourn time distributions, where no assumptions are done on the shape of distributions. Moreover, the estimation can be done on the basis of one or several sample paths, with or without censoring at the beginning or/and at the end of the sample paths. Reliability indicators such as reliability, maintainability, availability, BMP-failure rate, RG-failure rate, mean time to failure and mean time to repair are available as well. The implemented methods are described in Barbu, V.S., Limnios, N. (2008) <doi:10.1007/978-0-387-73173-5>, Barbu, V.S., Limnios, N. (2008) <doi:10.1080/10485250701261913> and Trevezas, S., Limnios, N. (2011) <doi:10.1080/1048 [...truncated...]
Author: Vlad Stefan Barbu [aut] , Florian Lecocq [aut], Corentin Lothode [aut] , Nicolas Vergne [aut, cre]
Maintainer: Nicolas Vergne <nicolas.vergne@univ-rouen.fr>

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Package this.path updated to version 2.7.1 with previous version 2.7.0 dated 2025-04-10

Title: Get Executing Script's Path
Description: Determine the path of the executing script. Compatible with several popular GUIs: 'Rgui', 'RStudio', 'Positron', 'VSCode', 'Jupyter', 'Emacs', and 'Rscript' (shell). Compatible with several functions and packages: 'source()', 'sys.source()', 'debugSource()' in 'RStudio', 'compiler::loadcmp()', 'utils::Sweave()', 'box::use()', 'knitr::knit()', 'plumber::plumb()', 'shiny::runApp()', 'package:targets', and 'testthat::source_file()'.
Author: Iris Simmons [aut, cre]
Maintainer: Iris Simmons <ikwsimmo@gmail.com>

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Package CAESAR.Suite readmission to version 0.2.3 with previous version 0.2.2 dated 2025-04-01

Title: CAESAR: a Cross-Technology and Cross-Resolution Framework for Spatial Omics Annotation
Description: Biotechnology in spatial omics has advanced rapidly over the past few years, enhancing both throughput and resolution. However, existing annotation pipelines in spatial omics predominantly rely on clustering methods, lacking the flexibility to integrate extensive annotated information from single-cell RNA sequencing (scRNA-seq) due to discrepancies in spatial resolutions, species, or modalities. Here we introduce the CAESAR suite, an open-source software package that provides image-based spatial co-embedding of locations and genomic features. It uniquely transfers labels from scRNA-seq reference, enabling the annotation of spatial omics datasets across different technologies, resolutions, species, and modalities, based on the conserved relationship between signature genes and cells/locations at an appropriate level of granularity. Notably, CAESAR enriches location-level pathways, allowing for the detection of gradual biological pathway activation within spatially defined domain types. [...truncated...]
Author: Xiao Zhang [aut, cre], Wei Liu [aut], Jin Liu [aut]
Maintainer: Xiao Zhang <zhangxiao1994@cuhk.edu.cn>

This is a re-admission after prior archival of version 0.2.2 dated 2025-04-01

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Package tind readmission to version 0.2.2 with previous version 0.2.1 dated 2025-10-26

Title: A Common Representation of Time Indices of Different Types
Description: Provides an easy-to-use tind class representing time indices of different types (years, quarters, months, ISO 8601 weeks, dates, time of day, date-time, and arbitrary integer/numeric indices). Includes an extensive collection of functions for calendrical computations (including business applications), index conversions, index parsing, and other operations. Auxiliary classes representing time differences and time intervals (with set operations and index matching functionality) are also provided. All routines have been optimised for speed in order to facilitate computations on large datasets. More details regarding calendars in general and calendrical algorithms can be found in "Calendar FAQ" by Claus Tøndering <https://www.tondering.dk/claus/calendar.html>.
Author: Grzegorz Klima [aut, cre, cph]
Maintainer: Grzegorz Klima <dever@post.pl>

This is a re-admission after prior archival of version 0.2.1 dated 2025-10-26

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Package rLakeHabitat readmission to version 1.0.1 with previous version 1.0.0 dated 2025-04-15

Title: Interpolate Bathymetry and Quantify Physical Aquatic Habitat
Description: Offers bathymetric interpolation using Inverse Distance Weighted and Ordinary Kriging via the 'gstat' and 'terra' packages. Other functions focus on quantifying physical aquatic habitats (e.g., littoral, epliminion, metalimnion, hypolimnion) from interpolated digital elevation models (DEMs). Functions were designed to calculate these metrics across water levels for use in reservoirs but can be applied to any DEM and will provide values for fixed conditions. Parameters like Secchi disk depth or estimated photic zone, thermocline depth, and water level fluctuation depth are included in most functions.
Author: Tristan Blechinger [aut, cre] , Sean Bertalot [aut]
Maintainer: Tristan Blechinger <tblechin@uwyo.edu>

This is a re-admission after prior archival of version 1.0.0 dated 2025-04-15

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Package CopernicusMarine updated to version 0.3.5 with previous version 0.3.2 dated 2025-10-12

Title: Search Download and Handle Data from Copernicus Marine Service Information
Description: Subset and download data from EU Copernicus Marine Service Information: <https://data.marine.copernicus.eu>. Import data on the oceans physical and biogeochemical state from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>

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Package worldbank (with last version 0.6.1) was removed from CRAN

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

2025-08-29 0.6.1
2025-05-29 0.6.0
2025-01-27 0.5.0
2024-12-09 0.4.0
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2024-07-02 0.1.0

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Package solaR2 (with last version 0.11) was removed from CRAN

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

2025-01-16 0.11
2024-09-16 0.10

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Package clifford (with last version 1.1-2) was removed from CRAN

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

2025-10-20 1.1-2
2025-05-07 1.1-1
2025-05-01 1.1-0
2022-08-13 1.0-8
2022-05-02 1.0-7
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2020-03-08 1.0-2
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Package ucsfindustrydocs (with last version 0.1.0) was removed from CRAN

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Package suntools updated to version 1.1.0 with previous version 1.0.1 dated 2024-11-20

Title: Calculate Sun Position, Sunrise, Sunset, Solar Noon and Twilight
Description: Provides a set of convenient functions for calculating sun-related information, including the sun's position (elevation and azimuth), and the times of sunrise, sunset, solar noon, and twilight for any given geographical location on Earth. These calculations are based on equations provided by the National Oceanic & Atmospheric Administration (NOAA) <https://gml.noaa.gov/grad/solcalc/calcdetails.html> as described in "Astronomical Algorithms" by Jean Meeus (1991, ISBN: 978-0-943396-35-4).
Author: Roger Bivand [aut] , Adriaan M. Dokter [ctb, cre] , Pieter Huybrechts [ctb] , Sebastian Luque [aut], Greg Pelletier [ctb], Alexander Tedeschi [ctb]
Maintainer: Adriaan M. Dokter <amd427@cornell.edu>

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Package ReliaGrowR updated to version 0.3 with previous version 0.2 dated 2025-09-21

Title: Reliability Growth Analysis
Description: Modeling and plotting functions for Reliability Growth Analysis (RGA). Models include the Duane (1962) <doi:10.1109/TA.1964.4319640>, Non-Homogeneous Poisson Process (NHPP) by Crow (1975) <https://apps.dtic.mil/sti/citations/ADA020296>, Piecewise Weibull NHPP by Guo et al. (2010) <doi:10.1109/RAMS.2010.5448029>, and Piecewise Weibull NHPP with Change Point Detection based on the 'segmented' package by Muggeo (2024) <https://cran.r-project.org/package=segmented>.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package mlr3pipelines updated to version 0.10.0 with previous version 0.9.0 dated 2025-07-31

Title: Preprocessing Operators and Pipelines for 'mlr3'
Description: Dataflow programming toolkit that enriches 'mlr3' with a diverse set of pipelining operators ('PipeOps') that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can therefore be resampled, benchmarked, and tuned.
Author: Martin Binder [aut, cre], Florian Pfisterer [aut] , Lennart Schneider [aut] , Bernd Bischl [aut] , Michel Lang [aut] , Sebastian Fischer [aut] , Susanne Dandl [aut], Keno Mersmann [ctb], Maximilian Muecke [ctb] , Lona Koers [ctb], Alexander Winterstet [...truncated...]
Maintainer: Martin Binder <mlr.developer@mb706.com>

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Package huxtable updated to version 5.8.0 with previous version 5.7.0 dated 2025-08-18

Title: Easily Create and Style Tables for LaTeX, HTML and Other Formats
Description: Creates styled tables for data presentation. Export to HTML, LaTeX, RTF, 'Word', 'Excel', 'PowerPoint', 'typst', SVG and PNG. Simple, modern interface to manipulate borders, size, position, captions, colours, text styles and number formatting. Table cells can span multiple rows and/or columns. Includes a 'huxreg' function to create regression tables, and 'quick_*' one-liners to print tables to a new document.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

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Thu, 06 Nov 2025

Package RSclient updated to version 0.7-11 with previous version 0.7-10 dated 2023-11-28

Title: Client for Rserve
Description: Client for Rserve, allowing to connect to Rserve instances and issue commands.
Author: Simon Urbanek [aut, cre, cph]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between RSclient versions 0.7-10 dated 2023-11-28 and 0.7-11 dated 2025-11-06

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Package fishgrowth updated to version 1.0.4 with previous version 1.0.3 dated 2025-10-01

Title: Fit Growth Curves to Fish Data
Description: Fit growth models to otoliths and/or tagging data, using the 'RTMB' package and maximum likelihood. The otoliths (or similar measurements of age) provide direct observed coordinates of age and length. The tagging data provide information about the observed length at release and length at recapture at a later time, where the age at release is unknown and estimated as a vector of parameters. The growth models provided by this package can be fitted to otoliths only, tagging data only, or a combination of the two. Growth variability can be modelled as constant or increasing with length.
Author: Arni Magnusson [aut, cre], Mark Maunder [aut]
Maintainer: Arni Magnusson <thisisarni@gmail.com>

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Package PathwaySpace updated to version 1.1.0 with previous version 1.0.2 dated 2025-07-27

Title: Spatial Projection of Network Signals along Geodesic Paths
Description: For a given graph containing vertices, edges, and a signal associated with the vertices, the 'PathwaySpace' package performs a convolution operation, which involves a weighted combination of neighboring vertices and their associated signals. The package then uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' could have various applications, such as visualizing network data in a graphical format that highlights the relationships and signal strengths between vertices. It can be particularly useful for understanding the influence of signals through complex networks. By combining graph theory, signal processing, and visualization, the 'PathwaySpace' package provides a novel way of representing graph data.
Author: Victor Apolonio [ctb], Vinicius Chagas [ctb], Sysbiolab and Collaborators [fnd], Mauro Castro [aut, cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

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Package facilityepimath updated to version 0.2.1 with previous version 0.1.0 dated 2025-03-07

Title: Analyze Mathematical Models of Healthcare Facility Transmission
Description: Calculate useful quantities for a user-defined differential equation model of infectious disease transmission among individuals in a healthcare facility. Input rates of transition between states of individuals with and without the disease-causing organism, distributions of states at facility admission, relative infectivity of transmissible states, and the facility length of stay distribution. Calculate the model equilibrium and the basic facility reproduction number, as described in Toth et al. (2025) <doi:10.1371/journal.pcbi.1013577>.
Author: Damon Toth [aut, cre, cph] , Centers for Disease Control and Prevention [fnd]
Maintainer: Damon Toth <damon.toth@hsc.utah.edu>

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Package nrlR updated to version 0.1.2 with previous version 0.1.1 dated 2025-09-01

Title: Functions to Scrape Rugby Data
Description: Provides a set of functions to scrape and analyze rugby data. Supports competitions including the National Rugby League, New South Wales Cup, Queensland Cup, Super League, and various representative and women's competitions. Includes functions to fetch player statistics, match results, ladders, venues, and coaching data. Designed to assist analysts, fans, and researchers in exploring historical and current rugby league data. See Woods et al. (2017) <doi:10.1123/ijspp.2016-0187> for an example of rugby league performance analysis methodology.
Author: Daniel Tomaro [aut, cre]
Maintainer: Daniel Tomaro <danieltomaro@icloud.com>

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Package vcfppR updated to version 0.8.2 with previous version 0.8.1 dated 2025-08-25

Title: Rapid Manipulation of the Variant Call Format (VCF)
Description: The 'vcfpp.h' (<https://github.com/Zilong-Li/vcfpp>) provides an easy-to-use 'C++' 'API' of 'htslib', offering full functionality for manipulating Variant Call Format (VCF) files. The 'vcfppR' package serves as the R bindings of the 'vcfpp.h' library, enabling rapid processing of both compressed and uncompressed VCF files. Explore a range of powerful features for efficient VCF data manipulation.
Author: Zilong Li [aut, cre] , Bonfield, James K and Marshall, John and Danecek, Petr and Li, Heng and Ohan, Valeriu and Whitwham, Andrew and Keane, Thomas and Davies, Robert M [cph]
Maintainer: Zilong Li <zilong.dk@gmail.com>

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Package sspse updated to version 1.1.0-4 with previous version 1.1.0-3 dated 2025-11-04

Title: Estimating Hidden Population Size using Respondent Driven Sampling Data
Description: Estimate the size of a networked population based on respondent-driven sampling data. The package is part of the "RDS Analyst" suite of packages for the analysis of respondent-driven sampling data. See Handcock, Gile and Mar (2014) <doi:10.1214/14-EJS923>, Handcock, Gile and Mar (2015) <doi:10.1111/biom.12255>, Kim and Handcock (2021) <doi:10.1093/jssam/smz055>, and McLaughlin, et. al. (2023) <doi:10.1214/23-AOAS1807>.
Author: Mark S. Handcock [aut, cre, cph] , Krista J. Gile [aut, cph], Brian Kim [ctb], Katherine R. McLaughlin [ctb]
Maintainer: Mark S. Handcock <handcock@stat.ucla.edu>

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Package SEQTaRget updated to version 1.3.0 with previous version 1.1.1 dated 2025-10-27

Title: Sequential Trial Emulation
Description: Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).
Author: Ryan O'Dea [aut, cre] , Alejandro Szmulewicz [aut] , Tom Palmer [aut] , Miguel Hernan [aut] , The President and Fellows of Harvard College [cph]
Maintainer: Ryan O'Dea <ryan.odea@psi.ch>

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Package catregs readmission to version 1.2.4 with previous version 1.2.2 dated 2024-09-04

Title: Post-Estimation Functions for Generalized Linear Mixed Models
Description: Several functions for working with mixed effects regression models for limited dependent variables. The functions facilitate post-estimation of model predictions or margins, and comparisons between model predictions for assessing or probing moderation. Additional helper functions facilitate model comparisons and implements simulation-based inference for model predictions of alternative-specific outcome models. See also, Melamed and Doan (2024, ISBN: 978-1032509518).
Author: David Melamed [aut, cre]
Maintainer: David Melamed <dmmelamed@gmail.com>

This is a re-admission after prior archival of version 1.2.2 dated 2024-09-04

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Package psycModel (with last version 0.5.0) was removed from CRAN

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

2023-11-01 0.5.0
2022-10-03 0.4.1
2022-08-29 0.4.0
2022-08-20 0.3.3
2021-09-05 0.3.2
2021-05-21 0.3.1
2021-04-21 0.3.0

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Package caretSDM updated to version 1.2.3 with previous version 1.1.4 dated 2025-08-29

Title: Build Species Distribution Modeling using 'caret'
Description: Use machine learning algorithms and advanced geographic information system tools to build Species Distribution Modeling in a extensible and modern fashion.
Author: Dayani Bailly [aut] , Edivando Couto [aut] , Jose Hilario Delconte Ferreira [aut] , Marcos R. Lima [aut] , Reginaldo Re [aut] , Valeria Batista [aut] , Luiz Fernando Esser [aut, cre, cph]
Maintainer: Luiz Fernando Esser <luizesser@gmail.com>

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Package xtdml updated to version 0.1.8 with previous version 0.1.6 dated 2025-10-08

Title: Double Machine Learning for Static Panel Models with Fixed Effects
Description: The 'xtdml' package implements partially linear panel regression (PLPR) models with high-dimensional confounding variables and an exogenous treatment variable within the double machine learning framework. The package is used to estimate the structural parameter (treatment effect) in static panel data models with fixed effects using the approaches established in Clarke and Polselli (2025) <doi:10.1093/ectj/utaf011>. 'xtdml' is built on the object-oriented package 'DoubleML' (Bach et al., 2024) <doi:10.18637/jss.v108.i03> using the 'mlr3' ecosystem.
Author: Annalivia Polselli [aut, cre]
Maintainer: Annalivia Polselli <apolselli.econ@gmail.com>

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Package refineR updated to version 2.0.0 with previous version 1.6.2 dated 2024-08-21

Title: Reference Interval Estimation using Real-World Data
Description: Indirect method for the estimation of reference intervals (RIs) using Real-World Data ('RWD') and methods for comparing and verifying RIs. Estimates RIs by applying advanced statistical methods to routine diagnostic test measurements, which include both pathological and non-pathological samples, to model the distribution of non-pathological samples. This distribution is then used to derive reference intervals and support RI verification, i.e., deciding if a specific RI is suitable for the local population. The package also provides functions for printing and plotting algorithm results. See ?refineR for a detailed description of features. Version 1.0 of the algorithm is described in 'Ammer et al. (2021)' <doi:10.1038/s41598-021-95301-2>. Additional guidance is in 'Ammer et al. (2023)' <doi:10.1093/jalm/jfac101>. The verification method is described in 'Beck et al. (2025)' <doi:10.1515/cclm-2025-0728>.
Author: Matthias Beck [aut, cre] , Tatjana Ammer [aut] , Christopher M Rank [aut], Andre Schuetzenmeister [aut]
Maintainer: Matthias Beck <matthias.beck.mb1@roche.com>

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Package rapidsplithalf updated to version 0.5 with previous version 0.4 dated 2025-01-28

Title: A Fast Permutation-Based Split-Half Reliability Algorithm
Description: Accurately estimates the reliability of cognitive tasks using a fast and flexible permutation-based split-half reliability algorithm that supports stratified splitting while maintaining equal split sizes. See Kahveci, Bathke, and Blechert (2025) <doi:10.3758/s13423-024-02597-y> for details.
Author: Sercan Kahveci [aut, cre]
Maintainer: Sercan Kahveci <sercan.kahveci@plus.ac.at>

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Package depCensoring updated to version 0.1.8 with previous version 0.1.7 dated 2025-03-11

Title: Statistical Methods for Survival Data with Dependent Censoring
Description: Several statistical methods for analyzing survival data under various forms of dependent censoring are implemented in the package. In addition to accounting for dependent censoring, it offers tools to adjust for unmeasured confounding factors. The implemented approaches allow users to estimate the dependency between survival time and dependent censoring time, based solely on observed survival data. For more details on the methods, refer to Deresa and Van Keilegom (2021) <doi:10.1093/biomet/asaa095>, Czado and Van Keilegom (2023) <doi:10.1093/biomet/asac067>, Crommen et al. (2024) <doi:10.1007/s11749-023-00903-9>, Deresa and Van Keilegom (2024) <doi:10.1080/01621459.2022.2161387>, Willems et al. (2025) <doi:10.48550/arXiv.2403.11860>, Ding and Van Keilegom (2025) and D'Haen et al. (2025) <doi:10.1007/s10985-025-09647-0>.
Author: Ilias Willems [aut] , Gilles Crommen [aut] , Negera Wakgari Deresa [aut, cre] , Jie Ding [aut] , Claudia Czado [aut] , Myrthe D'Haen [aut] , Ingrid Van Keilegom [aut]
Maintainer: Negera Wakgari Deresa <negera.deresa@gmail.com>

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Package BAwiR updated to version 1.4.1 with previous version 1.4 dated 2025-10-22

Title: Analysis of Basketball Data
Description: Collection of tools to work with European basketball data. Functions available are related to friendly web scraping, data management and visualization. Data were obtained from <https://www.euroleaguebasketball.net/euroleague/>, <https://www.euroleaguebasketball.net/eurocup/> and <https://www.acb.com/>, following the instructions of their respectives robots.txt files, when available. Box score data are available for the three leagues. Play-by-play and spatial shooting data are also available for the Spanish league. Methods for analysis include a population pyramid, 2D plots, circular plots of players' percentiles, plots of players' monthly/yearly stats, team heatmaps, team shooting plots, team four factors plots, cross-tables with the results of regular season games, maps of nationalities, combinations of lineups, possessions-related variables, timeouts, performance by periods, personal fouls, offensive rebounds and different types of shooting charts. Please see Vinue [...truncated...]
Author: Guillermo Vinue [aut, cre]
Maintainer: Guillermo Vinue <guillermo.vinue@uv.es>

Diff between BAwiR versions 1.4 dated 2025-10-22 and 1.4.1 dated 2025-11-06

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Package MonotonicityTest updated to version 1.3 with previous version 1.2 dated 2025-04-24

Title: Nonparametric Bootstrap Test for Regression Monotonicity
Description: Implements nonparametric bootstrap tests for detecting monotonicity in regression functions from Hall, P. and Heckman, N. (2000) <doi:10.1214/aos/1016120363> Includes tools for visualizing results using Nadaraya-Watson kernel regression and supports efficient computation with 'C++'. Tutorials and shiny application demo are available at <https://www.laylaparast.com/monotonicitytest> and <https://parastlab.shinyapps.io/MonotonicityTest>.
Author: Dylan Huynh [aut, cre]
Maintainer: Dylan Huynh <dylanhuynh@utexas.edu>

Diff between MonotonicityTest versions 1.2 dated 2025-04-24 and 1.3 dated 2025-11-06

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Package bbotk updated to version 1.8.0 with previous version 1.7.1 dated 2025-10-24

Title: Black-Box Optimization Toolkit
Description: Features highly configurable search spaces via the 'paradox' package and optimizes every user-defined objective function. The package includes several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in 'mlr3hyperband'). bbotk is the base package of 'mlr3tuning', 'mlr3fselect' and 'miesmuschel'.
Author: Marc Becker [cre, aut] , Jakob Richter [aut] , Michel Lang [aut] , Bernd Bischl [aut] , Martin Binder [aut], Olaf Mersmann [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between bbotk versions 1.7.1 dated 2025-10-24 and 1.8.0 dated 2025-11-06

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Package reqres updated to version 1.1.0 with previous version 1.0.0 dated 2025-08-20

Title: Powerful Classes for HTTP Requests and Responses
Description: In order to facilitate parsing of http requests and creating appropriate responses this package provides two classes to handle a lot of the housekeeping involved in working with http exchanges. The infrastructure builds upon the 'rook' specification and is thus well suited to be combined with 'httpuv' based web servers.
Author: Thomas Lin Pedersen [cre, aut]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between reqres versions 1.0.0 dated 2025-08-20 and 1.1.0 dated 2025-11-06

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Package trtswitch updated to version 0.2.1 with previous version 0.2.0 dated 2025-10-06

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

Diff between trtswitch versions 0.2.0 dated 2025-10-06 and 0.2.1 dated 2025-11-06

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Package multilevLCA updated to version 2.1.2 with previous version 2.1.1 dated 2025-10-01

Title: Estimates and Plots Single-Level and Multilevel Latent Class Models
Description: Efficiently estimates single- and multilevel latent class models with covariates, allowing for output visualization in all specifications. For more technical details, see Lyrvall et al. (2025) <doi:10.1080/00273171.2025.2473935>.
Author: Roberto Di Mari [aut, cre], Johan Lyrvall [aut], Zsuzsa Bakk [ctb], Jennifer Oser [ctb], Jouni Kuha [ctb]
Maintainer: Roberto Di Mari <roberto.dimari@unict.it>

Diff between multilevLCA versions 2.1.1 dated 2025-10-01 and 2.1.2 dated 2025-11-06

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Package CLVTools updated to version 0.12.1 with previous version 0.12.0 dated 2025-09-22

Title: Tools for Customer Lifetime Value Estimation
Description: A set of state-of-the-art probabilistic modeling approaches to derive estimates of individual customer lifetime values (CLV). Commonly, probabilistic approaches focus on modelling 3 processes, i.e. individuals' attrition, transaction, and spending process. Latent customer attrition models, which are also known as "buy-'til-you-die models", model the attrition as well as the transaction process. They are used to make inferences and predictions about transactional patterns of individual customers such as their future purchase behavior. Moreover, these models have also been used to predict individuals’ long-term engagement in activities such as playing an online game or posting to a social media platform. The spending process is usually modelled by a separate probabilistic model. Combining these results yields in lifetime values estimates for individual customers. This package includes fast and accurate implementations of various probabilistic models for non-contractual settings (e.g., gr [...truncated...]
Author: Patrick Bachmann [cre, aut], Niels Kuebler [aut], Markus Meierer [aut], Jeffrey Naef [aut], E. Shin Oblander [aut], Patrik Schilter [aut]
Maintainer: Patrick Bachmann <pbachma@ethz.ch>

Diff between CLVTools versions 0.12.0 dated 2025-09-22 and 0.12.1 dated 2025-11-06

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Package ggtikz updated to version 0.1.5 with previous version 0.1.4 dated 2025-09-12

Title: Post-Process 'ggplot2' Plots with 'TikZ' Code Using Plot Coordinates
Description: Annotation of 'ggplot2' plots with arbitrary 'TikZ' code, using absolute data or relative plot coordinates.
Author: Oliver Thomas [aut, cre]
Maintainer: Oliver Thomas <ost.dev@posteo.net>

Diff between ggtikz versions 0.1.4 dated 2025-09-12 and 0.1.5 dated 2025-11-06

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Package summarytabl updated to version 0.2.1 with previous version 0.2.0 dated 2025-11-05

Title: Generate Summary Tables for Categorical, Ordinal, and Continuous Data
Description: Provides functions for tabulating and summarizing categorical, multiple response, ordinal, and continuous variables in R data frames. Makes it easy to create clear, structured summary tables, so you spend less time wrangling data and more time interpreting it.
Author: Ama Nyame-Mensah [aut, cre]
Maintainer: Ama Nyame-Mensah <ama@anyamemensah.com>

Diff between summarytabl versions 0.2.0 dated 2025-11-05 and 0.2.1 dated 2025-11-06

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Package REMixed updated to version 1.1.1 with previous version 1.1.0 dated 2025-10-28

Title: Regularized Estimation in Mixed Effects Model
Description: Implementation of an algorithm in two steps to estimate parameters of a model whose latent dynamics are inferred through latent processes, jointly regularized. This package uses 'Monolix' software (<https://monolixsuite.slp-software.com/>), which provide robust statistical method for non-linear mixed effects modeling. 'Monolix' must have been installed prior to use.
Author: Auriane Gabaut [aut, cre], Ariane Bercu [aut], Melanie Prague [aut], Cecile Proust-Lima [aut]
Maintainer: Auriane Gabaut <auriane.gabaut@inria.fr>

Diff between REMixed versions 1.1.0 dated 2025-10-28 and 1.1.1 dated 2025-11-06

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New package UGarima with initial version 0.1.0
Package: UGarima
Title: The Unit-Garima Distribution
Version: 0.1.0
Description: Density, distribution function, quantile function, and random generating function of the Unit-Garima distribution based on Ayuyuen, S., & Bodhisuwan, W. (2024)<doi:10.18187/pjsor.v20i1.4307>.
License: GPL-3
Language: en-US
Encoding: UTF-8
Imports: graphics, stats, lamW
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-11-04 01:42:10 UTC; User
Author: Atchanut Rattanalertnusorn [aut, cre], Sirinapa Ayuyuen [aut], Winai Bodhisuwan [aut]
Maintainer: Atchanut Rattanalertnusorn <atchanut_r@rmutt.ac.th>
Repository: CRAN
Date/Publication: 2025-11-06 10:50:06 UTC

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New package releaser with initial version 1.0.0
Package: releaser
Title: Help with Preparing a New Version of an R Package
Version: 1.0.0
Description: Helps to prepare a release. Before releasing an R package it is important to update the DESCRIPTION file and the changelog. This package prepares these files and also updates the versions according to the branches. It relies heavily on the 'desc' packages.
License: MIT + file LICENSE
URL: https://github.com/TanguyBarthelemy/releaser, https://tanguybarthelemy.github.io/releaser/
BugReports: https://github.com/TanguyBarthelemy/releaser/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: gh, desc, base64enc
Suggests: rlang, spelling, testthat (>= 3.0.0)
Language: en-GB
NeedsCompilation: no
Packaged: 2025-11-03 10:29:31 UTC; onyxia
Author: Tanguy Barthelemy [aut, cre, art]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2025-11-06 10:10:02 UTC

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New package etsi with initial version 1.0
Package: etsi
Title: Efficient Testing Using Surrogate Information
Version: 1.0
Date: 2025-11-03
Description: Provides functions for treatment effect estimation, hypothesis testing, and future study design for settings where the surrogate is used in place of the primary outcome for individuals for whom the surrogate is valid, and the primary outcome is purposefully measured in the remaining patients. More details are available in: Knowlton, R., Parast, L. (2024) ``Efficient Testing Using Surrogate Information," Biometrical Journal, 67(6): e70086, <doi:10.1002/bimj.70086>. A tutorial for this package can be found at <https://www.laylaparast.com/etsi>.
License: GPL
Imports: hetsurr, stats
NeedsCompilation: no
Packaged: 2025-11-03 17:15:47 UTC; parastlm
Author: Rebecca Knowlton [aut], Layla Parast [aut, cre]
Maintainer: Layla Parast <parast@austin.utexas.edu>
Repository: CRAN
Date/Publication: 2025-11-06 10:50:02 UTC

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New package colorify with initial version 0.1.2
Package: colorify
Title: Intuitive Color and Palette Generation and Modification
Version: 0.1.2
Description: A one-stop shop for intuitive and dependency-free color and palette creation and modification. Includes palettes and functionality from popular packages such as 'viridis', 'RColorBrewer', and base R 'grDevices', as well as 'ggplot2' plot bindings. Users can generate perceptually uniform and colorblind-friendly palettes, adjust palettes in HSL and RGB color spaces, map color gradients to value ranges, and create color-generating functions.
URL: https://github.com/mauritsunkel/colorify, https://mauritsunkel.github.io/colorify/
BugReports: https://github.com/mauritsunkel/colorify/issues
License: Apache License 2.0
Encoding: UTF-8
Depends: R (>= 4.3)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), ggplot2, circlize
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-03 12:57:20 UTC; Home
Author: Maurits Unkel [aut, cre]
Maintainer: Maurits Unkel <mauritsunkel@gmail.com>
Repository: CRAN
Date/Publication: 2025-11-06 10:10:07 UTC

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New package brand.yml with initial version 0.1.0
Package: brand.yml
Title: Unified Branding with a Simple YAML File
Version: 0.1.0
Description: Read and process 'brand.yml' 'YAML' files. 'brand.yml' is a simple, portable 'YAML' file that codifies your company's brand guidelines into a format that can be used by 'Quarto', 'Shiny' and 'R' tooling to create branded outputs. Maintain unified, branded theming for web applications to printed reports to dashboards and presentations with a consistent look and feel.
License: MIT + file LICENSE
URL: https://posit-dev.github.io/brand-yml/pkg/r/, https://github.com/posit-dev/brand-yml
BugReports: https://github.com/posit-dev/brand-yml/issues
Depends: R (>= 4.1.0)
Imports: cli, rlang (>= 1.1.0), utils, yaml
Suggests: base64enc, dplyr, flextable, ggiraph, ggplot2 (>= 4.0.0), gt, htmltools, knitr, mime, palmerpenguins, patchwork, plotly, prismatic, rmarkdown, sass, stringr, testthat (>= 3.0.0), thematic (>= 0.1.7.9000), tidyr, tidyverse, withr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-11-03 17:23:28 UTC; garrick
Author: Garrick Aden-Buie [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Garrick Aden-Buie <garrick@posit.co>
Repository: CRAN
Date/Publication: 2025-11-06 10:40:02 UTC

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Package rush updated to version 0.4.1 with previous version 0.4.0 dated 2025-10-08

Title: Rapid Asynchronous and Distributed Computing
Description: Package to tackle large-scale problems asynchronously across a distributed network. Employing a database centric model, rush enables workers to communicate tasks and their results over a shared 'Redis' database. Key features include low task overhead, efficient caching, and robust error handling. The package powers the asynchronous optimization algorithms in the 'bbotk' and 'mlr3tuning' packages.
Author: Marc Becker [cre, aut, cph]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between rush versions 0.4.0 dated 2025-10-08 and 0.4.1 dated 2025-11-06

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New package jsutils with initial version 0.1.0
Package: jsutils
Title: 'JavaScript' Utilities for 'R'
Version: 0.1.0
Description: A collection of popular/useful JavaScript utilities, including the terser minifier, sass compiler, typescript transpiler, and more.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: QuickJSR (>= 1.8.1)
URL: https://andrjohns.github.io/jsutils/
NeedsCompilation: no
Packaged: 2025-11-03 08:57:16 UTC; andrew
Author: Andrew R. Johnson [aut, cre]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>
Repository: CRAN
Date/Publication: 2025-11-06 10:00:02 UTC

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Package FossilSim updated to version 2.4.3 with previous version 2.4.2 dated 2025-10-28

Title: Simulation and Plots for Fossil and Taxonomy Data
Description: Simulating and plotting taxonomy and fossil data on phylogenetic trees under mechanistic models of speciation, preservation and sampling.
Author: Rachel Warnock [aut, cph], Joelle Barido-Sottani [aut, cre, cph], Walker Pett [aut, cph], O'Reilly Joseph [aut, cph], Ugnė Stolz [aut, cph]
Maintainer: Joelle Barido-Sottani <joelle.barido-sottani@m4x.org>

Diff between FossilSim versions 2.4.2 dated 2025-10-28 and 2.4.3 dated 2025-11-06

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Package antaresRead updated to version 2.9.3 with previous version 2.9.2 dated 2025-09-23

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 2.9.2 dated 2025-09-23 and 2.9.3 dated 2025-11-06

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 R/utils_api.R                                                           |   18 
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Package signnet updated to version 1.0.6 with previous version 1.0.5 dated 2025-02-05

Title: Methods to Analyse Signed Networks
Description: Methods for the analysis of signed networks. This includes several measures for structural balance as introduced by Cartwright and Harary (1956) <doi:10.1037/h0046049>, blockmodeling algorithms from Doreian (2008) <doi:10.1016/j.socnet.2008.03.005>, various centrality indices, and projections of signed two-mode networks introduced by Schoch (2020) <doi:10.1080/0022250X.2019.1711376>.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

Diff between signnet versions 1.0.5 dated 2025-02-05 and 1.0.6 dated 2025-11-06

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 38 files changed, 799 insertions(+), 432 deletions(-)

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Package rebmix updated to version 2.17.0 with previous version 2.16.0 dated 2024-07-10

Title: Finite Mixture Modeling, Clustering & Classification
Description: Random univariate and multivariate finite mixture model generation, estimation, clustering, latent class analysis and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, Gumbel, binomial, Poisson, Dirac, uniform or circular von Mises parametric families.
Author: Marko Nagode [aut, cre] , Branislav Panic [ctb] , Jernej Klemenc [ctb] , Simon Oman [ctb]
Maintainer: Marko Nagode <marko.nagode@fs.uni-lj.si>

Diff between rebmix versions 2.16.0 dated 2024-07-10 and 2.17.0 dated 2025-11-06

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 50 files changed, 11485 insertions(+), 8220 deletions(-)

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Package bndesr (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:

2025-02-06 1.0.4
2023-06-06 1.0.3
2023-04-02 1.0.2

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Package tind (with last version 0.2.1) was removed from CRAN

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

2025-10-26 0.2.1
2025-10-22 0.2

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