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>

Diff between PathwaySpace versions 1.0.2 dated 2025-07-27 and 1.1.0 dated 2025-11-06

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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>

Diff between nrlR versions 0.1.1 dated 2025-09-01 and 0.1.2 dated 2025-11-06

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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>

Diff between vcfppR versions 0.8.1 dated 2025-08-25 and 0.8.2 dated 2025-11-06

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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>

Diff between sspse versions 1.1.0-3 dated 2025-11-04 and 1.1.0-4 dated 2025-11-06

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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>

Diff between SEQTaRget versions 1.1.1 dated 2025-10-27 and 1.3.0 dated 2025-11-06

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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>

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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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 15 files changed, 173 insertions(+), 53 deletions(-)

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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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 tests/testthat/test-session-cookie.R |   36 +
 18 files changed, 1141 insertions(+), 327 deletions(-)

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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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 16 files changed, 198 insertions(+), 130 deletions(-)

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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

 DESCRIPTION |   12 ++++++------
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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

 DESCRIPTION                      |    6 +++---
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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

 DESCRIPTION                |    6 ++--
 MD5                        |   10 +++----
 NEWS.md                    |    5 +++
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 6 files changed, 106 insertions(+), 25 deletions(-)

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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 
 R/zzz.R                                                                 |   10 
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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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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>

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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
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Package FactorCopulaModel updated to version 0.1.1 with previous version 0.1.0 dated 2025-10-29

Title: Factor Copula Models
Description: Inference methods for factor copula models for continuous data in Krupskii and Joe (2013) <doi:10.1016/j.jmva.2013.05.001>, Krupskii and Joe (2015) <doi:10.1016/j.jmva.2014.11.002>, Fan and Joe (2024) <doi:10.1016/j.jmva.2023.105263>, one factor truncated vine models in Joe (2018) <doi:10.1002/cjs.11481>, and Gaussian oblique factor models. Functions for computing tail-weighted dependence measures in Lee, Joe and Krupskii (2018) <doi:10.1080/10485252.2017.1407414> and estimating tail dependence parameter.
Author: Harry Joe [aut], Pavel Krupskii [aut, cre], Xinyao Fan [aut], Allan Macleod [cph], Robert Gentleman [cph], Ross Ihaka [cph]
Maintainer: Pavel Krupskii <pavel.krupskiy@unimelb.edu.au>

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Package exametrika updated to version 1.6.5 with previous version 1.6.3 dated 2025-09-30

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

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Package emplikAUC updated to version 0.5 with previous version 0.4 dated 2024-05-29

Title: Empirical Likelihood Ratio Test/Confidence Interval for AUC or pAUC
Description: Test hypotheses and construct confidence intervals for AUC (area under Receiver Operating Characteristic curve) and pAUC (partial area under ROC curve), from the given two samples of test data with disease/healthy subjects. The method used is based on TWO SAMPLE empirical likelihood and PROFILE empirical likelihood, as described in <https://www.ms.uky.edu/~mai/research/eAUC1.pdf>.
Author: Mai Zhou [aut, cre, cph], Xue Ding [aut], Yumin Zhao [aut]
Maintainer: Mai Zhou <maizhou@gmail.com>

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Package torchvision updated to version 0.8.0 with previous version 0.7.0 dated 2025-07-18

Title: Models, Datasets and Transformations for Images
Description: Provides access to datasets, models and preprocessing facilities for deep learning with images. Integrates seamlessly with the 'torch' package and it's 'API' borrows heavily from 'PyTorch' vision package.
Author: Daniel Falbel [aut, cre], Christophe Regouby [ctb], Akanksha Koshti [ctb], Derrick Richard [ctb], RStudio [cph]
Maintainer: Daniel Falbel <daniel@posit.co>

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Package RGraphSpace updated to version 1.1.0 with previous version 1.0.9 dated 2025-07-23

Title: A Lightweight Interface Between 'igraph' and 'ggplot2' Graphics
Description: Interface to integrate 'igraph' and 'ggplot2' graphics in a normalized coordinate system. 'RGraphSpace' implements new geometric objects using 'ggplot2' prototypes, customized for side-by-side visualization of multiple graphs. By scaling shapes and graph elements, 'RGraphSpace' can provide a framework for layered visualizations.
Author: Victor Apolonio [ctb], Vinicius Chagas [ctb], Mauro Castro [aut, cre]
Maintainer: Mauro Castro <mauro.a.castro@gmail.com>

Diff between RGraphSpace versions 1.0.9 dated 2025-07-23 and 1.1.0 dated 2025-11-06

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Package progressr updated to version 0.18.0 with previous version 0.17.0 dated 2025-10-15

Title: An Inclusive, Unifying API for Progress Updates
Description: A minimal, unifying API for scripts and packages to report progress updates from anywhere including when using parallel processing. The package is designed such that the developer can to focus on what progress should be reported on without having to worry about how to present it. The end user has full control of how, where, and when to render these progress updates, e.g. in the terminal using utils::txtProgressBar(), cli::cli_progress_bar(), in a graphical user interface using utils::winProgressBar(), tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using beepr::beep(), or on a file system via the size of a file. Anyone can add additional, customized, progression handlers. The 'progressr' package uses R's condition framework for signaling progress updated. Because of this, progress can be reported from almost anywhere in R, e.g. from classical for and while loops, from map-reduce API:s like the lapply() family of functions, 'purrr', 'plyr', and 'foreach'. It will als [...truncated...]
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between progressr versions 0.17.0 dated 2025-10-15 and 0.18.0 dated 2025-11-06

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Package pkgdown updated to version 2.2.0 with previous version 2.1.3 dated 2025-05-24

Title: Make Static HTML Documentation for a Package
Description: Generate an attractive and useful website from a source package. 'pkgdown' converts your documentation, vignettes, 'README', and more to 'HTML' making it easy to share information about your package online.
Author: Hadley Wickham [aut, cre] , Jay Hesselberth [aut] , Maelle Salmon [aut] , Olivier Roy [aut], Salim Brueggemann [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package opengraph updated to version 0.0.4 with previous version 0.0.3 dated 2025-09-04

Title: Process Metadata from the 'Open Graph Protocol'
Description: Social media sites often embed cards when links are shared, based on metadata in the 'Open Graph Protocol' (<https://ogp.me/>). This supports extracting that metadata from a website. It further allows for the creation of tags to add to a website to support the 'Open Graph Protocol' and provides a list of the standard tags and their required properties.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

Diff between opengraph versions 0.0.3 dated 2025-09-04 and 0.0.4 dated 2025-11-06

 DESCRIPTION                    |    8 ++++----
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Permanent link

Package ncvreg updated to version 3.16.0 with previous version 3.15.0 dated 2025-02-11

Title: Regularization Paths for SCAD and MCP Penalized Regression Models
Description: Fits regularization paths for linear regression, GLM, and Cox regression models using lasso or nonconvex penalties, in particular the minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalty, with options for additional L2 penalties (the "elastic net" idea). Utilities for carrying out cross-validation as well as post-fitting visualization, summarization, inference, and prediction are also provided. For more information, see Breheny and Huang (2011) <doi:10.1214/10-AOAS388> or visit the ncvreg homepage <https://pbreheny.github.io/ncvreg/>.
Author: Patrick Breheny [aut, cre] , Ryan Miller [aut] , Logan Harris [aut]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

Diff between ncvreg versions 3.15.0 dated 2025-02-11 and 3.16.0 dated 2025-11-06

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 ncvreg-3.16.0/ncvreg/inst/tinytest/special-cases.R       |   44 --
 ncvreg-3.16.0/ncvreg/man/cv.ncvreg.Rd                    |    2 
 ncvreg-3.16.0/ncvreg/man/intervals.Rd                    |only
 ncvreg-3.16.0/ncvreg/man/ncvreg-package.Rd               |    6 
 ncvreg-3.16.0/ncvreg/man/ncvreg.Rd                       |    4 
 ncvreg-3.16.0/ncvreg/man/ncvsurv.Rd                      |    2 
 ncvreg-3.16.0/ncvreg/man/summary.cv.ncvreg.Rd            |    9 
 ncvreg-3.16.0/ncvreg/tests/test.R                        |    2 
 ncvreg-3.16.0/ncvreg/vignettes/ncvreg.rmd                |only
 41 files changed, 457 insertions(+), 472 deletions(-)

More information about ncvreg at CRAN
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Package lidR updated to version 4.2.2 with previous version 4.2.1 dated 2025-06-02

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] , Florian De Boissieu [ctb] , Andrew Sanchez Meador [ctb] for segment_snags), Bourdon Jean-Francois [ctb] for track_sensor), Gatziolis Demetrios [ctb] for track_sensor), Leon Steinmeier [c [...truncated...]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>

Diff between lidR versions 4.2.1 dated 2025-06-02 and 4.2.2 dated 2025-11-06

 DESCRIPTION                         |   10 -
 MD5                                 |   68 ++++----
 NEWS.md                             |    9 -
 R/Class-LAS.R                       |   17 --
 R/RcppExports.R                     |    8 
 R/add_attribute.R                   |    2 
 R/classify.R                        |    2 
 R/connected_components.R            |   11 -
 R/io_readLAScatalog.R               |    2 
 R/las_tools.R                       |    2 
 R/metrics_point.R                   |   13 +
 R/rasterize.R                       |    2 
 R/st_crs.R                          |    2 
 R/utils_colors.R                    |   41 ++--
 build/vignette.rds                  |binary
 inst/doc/lidR-LAS-class.Rmd         |    2 
 inst/doc/lidR-LAS-class.html        |    2 
 inst/doc/lidR-LAScatalog-class.Rmd  |    2 
 inst/doc/lidR-LAScatalog-class.html |    2 
 inst/include/lidR/Grid3D.h          |   44 +++--
 man/LAS-class.Rd                    |   15 -
 man/LASheader-class.Rd              |    2 
 man/add_attribute.Rd                |    2 
 man/classify.Rd                     |    2 
 man/connected_components.Rd         |    7 
 man/las_utilities.Rd                |    2 
 man/rasterize.Rd                    |    2 
 src/LAS.cpp                         |  300 +++++++++++++++++++++++++++++++-----
 src/LAS.h                           |    1 
 src/RcppExports.cpp                 |   24 ++
 src/RcppFunction.cpp                |   11 +
 src/knn.cpp                         |   82 ++++++---
 tests/testthat/Rplots.pdf           |binary
 vignettes/lidR-LAS-class.Rmd        |    2 
 vignettes/lidR-LAScatalog-class.Rmd |    2 
 35 files changed, 502 insertions(+), 193 deletions(-)

More information about lidR at CRAN
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