Sun, 11 Oct 2026

Package tidycjk updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-09

Title: Tidy Tools for Chinese, Japanese and Korean Text
Description: A tidy toolkit for text that is written in Chinese, Japanese or Korean. Most text tooling in R assumes that words are separated by whitespace, which CJK writing does not use, so ordinary summaries of a text column either treat a sentence as one undifferentiated blob or split it into isolated characters. Word segmentation is a pluggable engine, with dictionary-based segmentation for Chinese and Japanese supplied through 'ICU' and further engines registrable by the caller, because where a word ends is a fact about a language and not about Unicode. 'tidycjk' classifies characters by Unicode block, reports which script and which language a text is written in, measures how much of a text is CJK, and turns those measurements into tibbles that slot straight into a 'tidyverse' workflow. It also measures display width in terminal columns, pads, truncates and wraps to a width rather than to a character count, and normalises fullwidth and halfwidth forms surgically -- including composing halfwidt [...truncated...]
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>

Diff between tidycjk versions 0.1.0 dated 2026-09-09 and 0.2.0 dated 2026-10-11

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Package sp updated to version 2.2-4 with previous version 2.2-3 dated 2026-07-19

Title: Classes and Methods for Spatial Data
Description: Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc. From this version, 'rgdal', 'maptools', and 'rgeos' are no longer used at all, see <https://r-spatial.org/r/2023/05/15/evolution4.html> for details.
Author: Edzer Pebesma [aut, cre], Roger Bivand [aut], Barry Rowlingson [ctb], Virgilio Gomez-Rubio [ctb], Robert Hijmans [ctb], Michael Sumner [ctb], Don MacQueen [ctb], Jim Lemon [ctb], Finn Lindgren [ctb], Josh O'Brien [ctb], Joseph O'Rourke [ctb], Patrick [...truncated...]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between sp versions 2.2-3 dated 2026-07-19 and 2.2-4 dated 2026-10-11

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Package shidashi updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-10

Title: A Shiny Dashboard Template Modular System with Chat Bot Support
Description: A template dashboard system with AI agent integrated. Comes with default themes that can be customized. Developers can upload modified templates on 'Github', and users can easily download templates with 'RStudio' project wizard. The key features of the default template include light and dark theme switcher, resizing graphs, synchronizing inputs across sessions, new notification system, fancy progress bars, and card-like flip panels with back sides, as well as various of 'HTML' tool widgets.
Author: Zhengjia Wang [cph, aut, cre] , ColorlibHQ [cph] , Bootstrap contributors [ctb] , Twitter, Inc [cph] , Ivan Sagalaev [ctb, cph] , Rene Haas [ctb, cph] , Zeno Rocha [ctb, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

Diff between shidashi versions 0.2.0 dated 2026-04-10 and 0.3.0 dated 2026-10-11

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Package rbridge readmission to version 1.0.3 with previous version 1.0.2 dated 2020-02-29

Title: Restricted Bridge Estimation
Description: Implements bridge regression with linear coefficient restrictions using the local quadratic approximation described by Yuzbasi, Arashi and Akdeniz (2021) <doi:10.1007/s00500-021-05763-9>. Provides coefficient paths, cross-validation, prediction and coefficient extraction for restricted and unrestricted linear models.
Author: Bahadir Yuzbasi [aut, cre], Mohammad Arashi [aut], Fikri Akdeniz [aut], Jerome Friedman [ctb] , Trevor Hastie [ctb] , Robert Tibshirani [ctb]
Maintainer: Bahadir Yuzbasi <b.yzb@hotmail.com>

This is a re-admission after prior archival of version 1.0.2 dated 2020-02-29

Diff between rbridge versions 1.0.2 dated 2020-02-29 and 1.0.3 dated 2026-10-11

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Package PLMIX readmission to version 2.2.1 with previous version 2.2.0 dated 2025-06-30

Title: Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for Partial Rankings/Orderings
Description: Fit finite mixtures of Plackett-Luce models for partial top rankings/orderings within the Bayesian framework. It provides MAP point estimates via EM algorithm and posterior MCMC simulations via Gibbs Sampling. It also fits MLE as a special case of the noninformative Bayesian analysis with vague priors. In addition to inferential techniques, the package assists other fundamental phases of a model-based analysis for partial rankings/orderings, by including functions for data manipulation, simulation, descriptive summary, model selection and goodness-of-fit evaluation. Main references on the methods are Mollica and Tardella (2017) <doi:10.1007/s11336-016-9530-0> and Mollica and Tardella (2014) <doi:10.1002/sim.6224>.
Author: Cristina Mollica [aut, cre], Luca Tardella [aut]
Maintainer: Cristina Mollica <cristina.mollica@uniroma1.it>

This is a re-admission after prior archival of version 2.2.0 dated 2025-06-30

Diff between PLMIX versions 2.2.0 dated 2025-06-30 and 2.2.1 dated 2026-10-11

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Package motifcluster updated to version 0.2.4 with previous version 0.2.3 dated 2022-11-18

Title: Motif-Based Spectral Clustering of Weighted Directed Networks
Description: Tools for spectral clustering of weighted directed networks using motif adjacency matrices. Methods perform well on large and sparse networks, and random sampling methods for generating weighted directed networks are also provided. Based on methodology detailed in Underwood, Elliott and Cucuringu (2020) <doi:10.48550/arXiv.2004.01293>.
Author: William George Underwood [aut, cre]
Maintainer: William George Underwood <william.underwood@warwick.ac.uk>

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More information about motifcluster at CRAN
Permanent link

Package globals updated to version 0.20.0 with previous version 0.19.1 dated 2026-03-13

Title: Identify Global Objects in R Expressions
Description: Identifies global ("unknown" or "free") objects in R expressions by code inspection using various strategies (ordered, liberal, conservative, or deep-first search). The objective of this package is to make it as simple as possible to identify global objects for the purpose of exporting them in parallel, distributed compute environments.
Author: Henrik Bengtsson [aut, cre, cph] , Davis Vaughan [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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More information about globals at CRAN
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Package svrep updated to version 0.9.2 with previous version 0.9.1 dated 2025-10-08

Title: Tools for Creating, Updating, and Analyzing Survey Replicate Weights
Description: Provides tools for creating and working with survey replicate weights, extending functionality of the 'survey' package from Lumley (2004) <doi:10.18637/jss.v009.i08>. Implements bootstrap methods for complex surveys, including the generalized survey bootstrap as described by Beaumont and Patak (2012) <doi:10.1111/j.1751-5823.2011.00166.x>. Methods are provided for applying nonresponse adjustments to both full-sample and replicate weights as described by Rust and Rao (1996) <doi:10.1177/096228029600500305>. Implements methods for sample-based calibration described by Opsomer and Erciulescu (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021002/article/00006-eng.htm>. Diagnostic functions are included to compare weights and weighted estimates from different sets of replicate weights.
Author: Ben Schneider [aut, cre]
Maintainer: Ben Schneider <benjamin.julius.schneider@gmail.com>

Diff between svrep versions 0.9.1 dated 2025-10-08 and 0.9.2 dated 2026-10-11

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Package rolleigen updated to version 1.0.1 with previous version 1.0.0 dated 2026-06-19

Title: Rolling Eigenanalysis
Description: Fast and efficient computation of rolling and expanding eigenanalysis for time-series data. The 'rolleigen' package decomposes the covariance matrix of the explanatory variables into eigenvalues and eigenvectors to perform principal component analysis (Pearson, 1901, <doi:10.1080/14786440109462720>; Hotelling, 1933, <doi:10.1037/h0071325>) and principal component regression (Massy, 1965, <doi:10.1080/01621459.1965.10480787>) over rolling and expanding windows. For each window, the eigenvalues and eigenvectors are computed from the covariance matrix and, optionally, ordered from the largest to smallest eigenvalue to summarize the directions of greatest variation in the data. A subset of leading components is then used to fit a regression that mitigates collinearity in the explanatory variables. Use cases include dimensionality reduction, factor extraction, and regression on collinear explanatory variables. The package supports rolling and expanding windows, weights, a [...truncated...]
Author: Jason Foster [aut, cre]
Maintainer: Jason Foster <jason.j.foster@gmail.com>

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Package future.callr updated to version 1.0.1 with previous version 1.0.0 dated 2026-06-22

Title: A Future API for Parallel Processing using 'callr'
Description: Implementation of the Future API <doi:10.32614/RJ-2021-048> on top of the 'callr' package. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, on your local (Linux, macOS, Windows, ...) machine. Contrary to backends relying on the 'parallel' package (e.g. 'future::multisession') and socket connections, the 'callr' backend provided here can run more than 125 parallel R processes.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package filearray updated to version 0.2.4 with previous version 0.2.3 dated 2026-08-21

Title: File-Backed Array for Out-of-Memory Computation
Description: Stores large arrays in files to avoid occupying large memories. Implemented with super fast gigabyte-level multi-threaded reading/writing via 'OpenMP'. Supports multiple non-character data types (double, float, complex, integer, logical, and raw).
Author: Zhengjia Wang [aut, cre, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package mlr updated to version 2.19.4 with previous version 2.19.3 dated 2025-08-22

Title: Machine Learning in R
Description: Interface to a large number of classification and regression techniques, including machine-readable parameter descriptions. There is also an experimental extension for survival analysis, clustering and general, example-specific cost-sensitive learning. Generic resampling, including cross-validation, bootstrapping and subsampling. Hyperparameter tuning with modern optimization techniques, for single- and multi-objective problems. Filter and wrapper methods for feature selection. Extension of basic learners with additional operations common in machine learning, also allowing for easy nested resampling. Most operations can be parallelized.
Author: Bernd Bischl [aut] , Michel Lang [aut] , Lars Kotthoff [aut], Patrick Schratz [aut] , Julia Schiffner [aut], Jakob Richter [aut], Zachary Jones [aut], Giuseppe Casalicchio [aut] , Mason Gallo [aut], Jakob Bossek [ctb] , Erich Studerus [ctb] , Leonard [...truncated...]
Maintainer: Martin Binder <mlr.developer@mb706.com>

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Package kernreg updated to version 1.1 with previous version 1.0 dated 2026-02-16

Title: Nadaraya-Watson Kernel Regression
Description: Fast implementation of Nadaraya-Watson kernel regression for either univariate or multivariate responses, with one or more bandwidths. K-fold cross-validation is also performed.
Author: Michail Tsagris [aut, cre], Christos Adam [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between kernreg versions 1.0 dated 2026-02-16 and 1.1 dated 2026-10-11

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Package groupedHyperframe updated to version 0.4.6 with previous version 0.4.5 dated 2026-08-25

Title: Grouped Hyper Data Frame
Description: Extensions of "hyper data frame" (from package 'spatstat.geom') with a grouping structure. The author has retired from academic research. Accordingly, this package should not be considered a validated tool for use in peer-reviewed publications or as the basis for grant applications. Backward compatibility with user-code published in <doi:10.1093/bioinformatics/btaf430> is not maintained in versions >= 0.4.0 (June 2026) of this package. The authors of those publications are the appropriate contacts for reproducibility inquiries.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package crmPack updated to version 2.3.0 with previous version 2.2.1 dated 2026-07-27

Title: Object-Oriented Implementation of Dose Escalation Designs
Description: Implements a wide range of dose escalation designs. The focus is on model-based designs, ranging from classical and modern continual reassessment methods (CRMs) based on dose-limiting toxicity endpoints to dual-endpoint designs taking into account a biomarker/efficacy outcome. Bayesian inference is performed via MCMC sampling in JAGS, and it is easy to setup a new design with custom JAGS code. However, it is also possible to implement 3+3 designs for comparison or models with non-Bayesian estimation. The whole package is written in a modular form in the S4 class system, making it very flexible for adaptation to new models, escalation or stopping rules. Further details are presented in Sabanés Bové et al. (2019) <doi:10.18637/jss.v089.i10>.
Author: Daniel Sabanes Bove [aut, cre] , Wai Yin Yeung [aut], Burak Kuersad Guenhan [aut], Giuseppe Palermo [aut], Thomas Jaki [aut], Jiawen Zhu [aut], Ziwei Liao [aut], Dimitris Kontos [aut], Marlene Schulte-Goebel [aut], Doug Kelkhoff [aut] , Oliver Boix [ [...truncated...]
Maintainer: Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com>

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More information about crmPack at CRAN
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Package umx updated to version 4.80.0 with previous version 4.65.0 dated 2026-05-18

Title: Structural Equation Modeling and Twin Modeling in R
Description: Quickly create, run, and report structural equation and twin models. See '?umx' for help, and umx_open_CRAN_page("umx") for NEWS. Citations are: * Timothy C. Bates, Michael C. Neale, Hermine H. Maes, (2019). umx: A library for Structural Equation and Twin Modelling in R. Twin Research and Human Genetics, 22, 27-41. <doi:10.1017/thg.2019.2>. * Luis F.S. Castro-de-Araujo, Nathan A. Gillespie, Michael C. Neale, and Timothy Charles Bates (2026). umx version 4.5: Extending Twin and Path-Based SEM in R with CLPM, MR-DoC, Definition Variables, Onyx Integration, and Censored Distributions. Twin Research and Human Genetics, 1-6. <doi:10.1017/thg.2026.10056>.
Author: Timothy C. Bates [aut, cre] , Luis De Araujo [ctb], Nathan Gillespie [wit], Hermine Maes [ctb], Michael C. Neale [ctb], Joshua N. Pritikin [ctb], Brenton Wiernik [ctb], Michael Zakharin [wit]
Maintainer: Timothy C. Bates <timothy.c.bates@gmail.com>

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 umx-4.80.0/umx/man/residuals.MxModel.Rd                           |   37 
 umx-4.80.0/umx/man/tmx_genotypic_effect.Rd                        |   10 
 umx-4.80.0/umx/man/tmx_is.identified.Rd                           |   15 
 umx-4.80.0/umx/man/tmx_show.MxMatrix.Rd                           |   33 
 umx-4.80.0/umx/man/tmx_show.MxModel.Rd                            |   14 
 umx-4.80.0/umx/man/tmx_show.MxModelGSEM.Rd                        |only
 umx-4.80.0/umx/man/tmx_show.Rd                                    |   33 
 umx-4.80.0/umx/man/tvars.Rd                                       |only
 umx-4.80.0/umx/man/umx.Rd                                         |  460 -
 umx-4.80.0/umx/man/umxACE.Rd                                      |   69 
 umx-4.80.0/umx/man/umxACE_DE.Rd                                   |only
 umx-4.80.0/umx/man/umxACE_GLM.Rd                                  |only
 umx-4.80.0/umx/man/umxACEcov.Rd                                   |   76 
 umx-4.80.0/umx/man/umxACEv.Rd                                     |   68 
 umx-4.80.0/umx/man/umxAPA.Rd                                      |   54 
 umx-4.80.0/umx/man/umxAlgebra.Rd                                  |   17 
 umx-4.80.0/umx/man/umxBrownie.Rd                                  |   20 
 umx-4.80.0/umx/man/umxCI.Rd                                       |   37 
 umx-4.80.0/umx/man/umxCI_boot.Rd                                  |   33 
 umx-4.80.0/umx/man/umxCLPM.Rd                                     |    6 
 umx-4.80.0/umx/man/umxCP.Rd                                       |   68 
 umx-4.80.0/umx/man/umxCloud.Rd                                    |only
 umx-4.80.0/umx/man/umxCompare.Rd                                  |  100 
 umx-4.80.0/umx/man/umxConfint.Rd                                  |   37 
 umx-4.80.0/umx/man/umxCov2cor.Rd                                  |   38 
 umx-4.80.0/umx/man/umxDiagnose.Rd                                 |   10 
 umx-4.80.0/umx/man/umxDiffMZ.Rd                                   |   65 
 umx-4.80.0/umx/man/umxDiscTwin.Rd                                 |   63 
 umx-4.80.0/umx/man/umxDoC.Rd                                      |   66 
 umx-4.80.0/umx/man/umxDoCp.Rd                                     |   61 
 umx-4.80.0/umx/man/umxEFA.Rd                                      |   49 
 umx-4.80.0/umx/man/umxEquate.Rd                                   |   18 
 umx-4.80.0/umx/man/umxExamples.Rd                                 |    4 
 umx-4.80.0/umx/man/umxExpCov.Rd                                   |   33 
 umx-4.80.0/umx/man/umxExpMeans.Rd                                 |   33 
 umx-4.80.0/umx/man/umxFactor.Rd                                   |   67 
 umx-4.80.0/umx/man/umxFactorScores.Rd                             |   27 
 umx-4.80.0/umx/man/umxFitIndices.Rd                               |   33 
 umx-4.80.0/umx/man/umxFixAll.Rd                                   |   21 
 umx-4.80.0/umx/man/umxGSEM.Rd                                     |only
 umx-4.80.0/umx/man/umxGSEM_GWAS.Rd                                |only
 umx-4.80.0/umx/man/umxGSEM_dl_tutorial_files.Rd                   |only
 umx-4.80.0/umx/man/umxGSEM_label_ldsc.Rd                          |only
 umx-4.80.0/umx/man/umxGSEM_ldsc.Rd                                |only
 umx-4.80.0/umx/man/umxGSEM_munge.Rd                               |only
 umx-4.80.0/umx/man/umxGSEM_sim_snps.Rd                            |only
 umx-4.80.0/umx/man/umxGSEM_std.Rd                                 |only
 umx-4.80.0/umx/man/umxGSEM_sumstats.Rd                            |only
 umx-4.80.0/umx/man/umxGetLatents.Rd                               |   20 
 umx-4.80.0/umx/man/umxGetManifests.Rd                             |   20 
 umx-4.80.0/umx/man/umxGetModel.Rd                                 |   20 
 umx-4.80.0/umx/man/umxGetParameters.Rd                            |   24 
 umx-4.80.0/umx/man/umxGxE.Rd                                      |  133 
 umx-4.80.0/umx/man/umxGxE_window.Rd                               |   72 
 umx-4.80.0/umx/man/umxGxEbiv.Rd                                   |   61 
 umx-4.80.0/umx/man/umxHetCor.Rd                                   |   91 
 umx-4.80.0/umx/man/umxIP.Rd                                       |   69 
 umx-4.80.0/umx/man/umxJiggle.Rd                                   |   21 
 umx-4.80.0/umx/man/umxLISREL.Rd                                   |only
 umx-4.80.0/umx/man/umxLav2RAM.Rd                                  |   35 
 umx-4.80.0/umx/man/umxMI.Rd                                       |   29 
 umx-4.80.0/umx/man/umxMRDoC.Rd                                    |   63 
 umx-4.80.0/umx/man/umxMatrix.Rd                                   |   16 
 umx-4.80.0/umx/man/umxMeasurementInvariance.Rd                    |only
 umx-4.80.0/umx/man/umxModel.Rd                                    |  191 
 umx-4.80.0/umx/man/umxModelNames.Rd                               |   35 
 umx-4.80.0/umx/man/umxModify.Rd                                   |   20 
 umx-4.80.0/umx/man/umxParameters.Rd                               |   24 
 umx-4.80.0/umx/man/umxParan.Rd                                    |   40 
 umx-4.80.0/umx/man/umxPath.Rd                                     |   29 
 umx-4.80.0/umx/man/umxPlot.Rd                                     |   46 
 umx-4.80.0/umx/man/umxPlotACE.Rd                                  |   40 
 umx-4.80.0/umx/man/umxPlotACE_DE.Rd                               |only
 umx-4.80.0/umx/man/umxPlotACE_GLM.Rd                              |only
 umx-4.80.0/umx/man/umxPlotACEcov.Rd                               |   40 
 umx-4.80.0/umx/man/umxPlotACEv.Rd                                 |   40 
 umx-4.80.0/umx/man/umxPlotCP.Rd                                   |   48 
 umx-4.80.0/umx/man/umxPlotDoC.Rd                                  |   40 
 umx-4.80.0/umx/man/umxPlotFun.Rd                                  |   42 
 umx-4.80.0/umx/man/umxPlotGxE.Rd                                  |   40 
 umx-4.80.0/umx/man/umxPlotGxEbiv.Rd                               |   40 
 umx-4.80.0/umx/man/umxPlotIP.Rd                                   |   43 
 umx-4.80.0/umx/man/umxPlotPredict.Rd                              |   49 
 umx-4.80.0/umx/man/umxPlotSexLim.Rd                               |   43 
 umx-4.80.0/umx/man/umxPlotSimplex.Rd                              |   36 
 umx-4.80.0/umx/man/umxPower.Rd                                    |    8 
 umx-4.80.0/umx/man/umxPrint_double_entry_data.Rd                  |only
 umx-4.80.0/umx/man/umxRAM.Rd                                      |  104 
 umx-4.80.0/umx/man/umxRAM2Lav.Rd                                  |   41 
 umx-4.80.0/umx/man/umxRAM_DE.Rd                                   |only
 umx-4.80.0/umx/man/umxRAM_GLM.Rd                                  |only
 umx-4.80.0/umx/man/umxReduce.Rd                                   |   79 
 umx-4.80.0/umx/man/umxReduceACE.Rd                                |   65 
 umx-4.80.0/umx/man/umxReduceGxE.Rd                                |   65 
 umx-4.80.0/umx/man/umxRenameMatrix.Rd                             |  185 
 umx-4.80.0/umx/man/umxRotate.MxModelCP.Rd                         |   62 
 umx-4.80.0/umx/man/umxRotate.Rd                                   |   33 
 umx-4.80.0/umx/man/umxRun.Rd                                      |   21 
 umx-4.80.0/umx/man/umxSetParameters.Rd                            |   18 
 umx-4.80.0/umx/man/umxSexLim.Rd                                   |   66 
 umx-4.80.0/umx/man/umxSimplex.Rd                                  |   65 
 umx-4.80.0/umx/man/umxSummarizeTwinData.Rd                        |   75 
 umx-4.80.0/umx/man/umxSummary.MxDataStatic.Rd                     |only
 umx-4.80.0/umx/man/umxSummary.MxLISRELModel.Rd                    |only
 umx-4.80.0/umx/man/umxSummary.MxModel.Rd                          |  112 
 umx-4.80.0/umx/man/umxSummary.MxModelGLM.Rd                       |only
 umx-4.80.0/umx/man/umxSummary.Rd                                  |   18 
 umx-4.80.0/umx/man/umxSummary.list.Rd                             |only
 umx-4.80.0/umx/man/umxSummaryACE.Rd                               |   65 
 umx-4.80.0/umx/man/umxSummaryACE_DE.Rd                            |only
 umx-4.80.0/umx/man/umxSummaryACE_GLM.Rd                           |only
 umx-4.80.0/umx/man/umxSummaryACEcov.Rd                            |   16 
 umx-4.80.0/umx/man/umxSummaryACEv.Rd                              |   65 
 umx-4.80.0/umx/man/umxSummaryCP.Rd                                |   16 
 umx-4.80.0/umx/man/umxSummaryDoC.Rd                               |   61 
 umx-4.80.0/umx/man/umxSummaryGxE.Rd                               |   16 
 umx-4.80.0/umx/man/umxSummaryGxEbiv.Rd                            |   65 
 umx-4.80.0/umx/man/umxSummaryIP.Rd                                |   16 
 umx-4.80.0/umx/man/umxSummaryMRDoC.Rd                             |   12 
 umx-4.80.0/umx/man/umxSummarySexLim.Rd                            |   66 
 umx-4.80.0/umx/man/umxSummarySimplex.Rd                           |   65 
 umx-4.80.0/umx/man/umxSuperModel.Rd                               |   26 
 umx-4.80.0/umx/man/umxThresholdMatrix.Rd                          |   21 
 umx-4.80.0/umx/man/umxTwinMaker.Rd                                |   81 
 umx-4.80.0/umx/man/umxTwoStage.Rd                                 |   21 
 umx-4.80.0/umx/man/umxUnexplainedCausalNexus.Rd                   |   21 
 umx-4.80.0/umx/man/umxVersion.Rd                                  |   44 
 umx-4.80.0/umx/man/umxWeightedAIC.Rd                              |   42 
 umx-4.80.0/umx/man/umx_APA_pval.Rd                                |  185 
 umx-4.80.0/umx/man/umx_ICA_report.Rd                              |only
 umx-4.80.0/umx/man/umx_aggregate.Rd                               |   44 
 umx-4.80.0/umx/man/umx_apply.Rd                                   |   43 
 umx-4.80.0/umx/man/umx_array_shift.Rd                             |   35 
 umx-4.80.0/umx/man/umx_as_numeric.Rd                              |   59 
 umx-4.80.0/umx/man/umx_check.Rd                                   |   33 
 umx-4.80.0/umx/man/umx_check_OS.Rd                                |   33 
 umx-4.80.0/umx/man/umx_check_model.Rd                             |   39 
 umx-4.80.0/umx/man/umx_check_names.Rd                             |   49 
 umx-4.80.0/umx/man/umx_check_parallel.Rd                          |   35 
 umx-4.80.0/umx/man/umx_complete_dollar.Rd                         |only
 umx-4.80.0/umx/man/umx_cont_2_quantiles.Rd                        |   68 
 umx-4.80.0/umx/man/umx_cor.Rd                                     |   51 
 umx-4.80.0/umx/man/umx_data.Rd                                    |only
 umx-4.80.0/umx/man/umx_detect_cores.Rd                            |only
 umx-4.80.0/umx/man/umx_explode.Rd                                 |   22 
 umx-4.80.0/umx/man/umx_explode_twin_names.Rd                      |   26 
 umx-4.80.0/umx/man/umx_file_load_pseudo.Rd                        |   14 
 umx-4.80.0/umx/man/umx_find_object.Rd                             |   42 
 umx-4.80.0/umx/man/umx_fun_mean_sd.Rd                             |  189 
 umx-4.80.0/umx/man/umx_get_bracket_addresses.Rd                   |  189 
 umx-4.80.0/umx/man/umx_get_checkpoint.Rd                          |   40 
 umx-4.80.0/umx/man/umx_get_options.Rd                             |   39 
 umx-4.80.0/umx/man/umx_grep.Rd                                    |   22 
 umx-4.80.0/umx/man/umx_has_CIs.Rd                                 |   33 
 umx-4.80.0/umx/man/umx_has_been_run.Rd                            |   33 
 umx-4.80.0/umx/man/umx_has_means.Rd                               |   33 
 umx-4.80.0/umx/man/umx_has_square_brackets.Rd                     |   34 
 umx-4.80.0/umx/man/umx_is_GSEM.Rd                                 |only
 umx-4.80.0/umx/man/umx_is_LISREL.Rd                               |only
 umx-4.80.0/umx/man/umx_is_MxData.Rd                               |   37 
 umx-4.80.0/umx/man/umx_is_MxMatrix.Rd                             |   33 
 umx-4.80.0/umx/man/umx_is_MxModel.Rd                              |   33 
 umx-4.80.0/umx/man/umx_is_RAM.Rd                                  |   33 
 umx-4.80.0/umx/man/umx_is_class.Rd                                |   16 
 umx-4.80.0/umx/man/umx_is_cov.Rd                                  |   35 
 umx-4.80.0/umx/man/umx_is_endogenous.Rd                           |   16 
 umx-4.80.0/umx/man/umx_is_exogenous.Rd                            |   16 
 umx-4.80.0/umx/man/umx_is_numeric.Rd                              |   16 
 umx-4.80.0/umx/man/umx_is_ordered.Rd                              |   16 
 umx-4.80.0/umx/man/umx_long2wide.Rd                               |   18 
 umx-4.80.0/umx/man/umx_lower.tri.Rd                               |   35 
 umx-4.80.0/umx/man/umx_lower2full.Rd                              |   63 
 umx-4.80.0/umx/man/umx_make.Rd                                    |  209 
 umx-4.80.0/umx/man/umx_make_GxE_data.Rd                           |only
 umx-4.80.0/umx/man/umx_make_MR_data.Rd                            |   55 
 umx-4.80.0/umx/man/umx_make_TwinData.Rd                           |  134 
 umx-4.80.0/umx/man/umx_make_double_entry_data.Rd                  |only
 umx-4.80.0/umx/man/umx_make_fake_data.Rd                          |   71 
 umx-4.80.0/umx/man/umx_make_raw_from_cov.Rd                       |   55 
 umx-4.80.0/umx/man/umx_make_sql_from_excel.Rd                     |   18 
 umx-4.80.0/umx/man/umx_make_twin_data_nice.Rd                     |   18 
 umx-4.80.0/umx/man/umx_means.Rd                                   |   38 
 umx-4.80.0/umx/man/umx_merge_randomized_columns.Rd                |   51 
 umx-4.80.0/umx/man/umx_move_file.Rd                               |   14 
 umx-4.80.0/umx/man/umx_msg.Rd                                     |   67 
 umx-4.80.0/umx/man/umx_names.Rd                                   |   38 
 umx-4.80.0/umx/man/umx_open.Rd                                    |   18 
 umx-4.80.0/umx/man/umx_open_CRAN_page.Rd                          |   35 
 umx-4.80.0/umx/man/umx_pad.Rd                                     |   41 
 umx-4.80.0/umx/man/umx_polychoric.Rd                              |   57 
 umx-4.80.0/umx/man/umx_polypairwise.Rd                            |   66 
 umx-4.80.0/umx/man/umx_polytriowise.Rd                            |   63 
 umx-4.80.0/umx/man/umx_print.Rd                                   |   35 
 umx-4.80.0/umx/man/umx_r_test.Rd                                  |   34 
 umx-4.80.0/umx/man/umx_read_lower.Rd                              |   55 
 umx-4.80.0/umx/man/umx_rename.Rd                                  |   51 
 umx-4.80.0/umx/man/umx_rename_file.Rd                             |   14 
 umx-4.80.0/umx/man/umx_reorder.Rd                                 |   57 
 umx-4.80.0/umx/man/umx_residualize.Rd                             |   18 
 umx-4.80.0/umx/man/umx_rot.Rd                                     |   23 
 umx-4.80.0/umx/man/umx_round.Rd                                   |   38 
 umx-4.80.0/umx/man/umx_scale.Rd                                   |   38 
 umx-4.80.0/umx/man/umx_scale_reliabilities.Rd                     |only
 umx-4.80.0/umx/man/umx_scale_wide_twin_data.Rd                    |   18 
 umx-4.80.0/umx/man/umx_score_scale.Rd                             |   59 
 umx-4.80.0/umx/man/umx_select_valid.Rd                            |   51 
 umx-4.80.0/umx/man/umx_set_auto_plot.Rd                           |   39 
 umx-4.80.0/umx/man/umx_set_auto_run.Rd                            |   35 
 umx-4.80.0/umx/man/umx_set_checkpoint.Rd                          |   50 
 umx-4.80.0/umx/man/umx_set_condensed_slots.Rd                     |   39 
 umx-4.80.0/umx/man/umx_set_cores.Rd                               |   68 
 umx-4.80.0/umx/man/umx_set_data_variance_check.Rd                 |   39 
 umx-4.80.0/umx/man/umx_set_dollar_symbol.Rd                       |   45 
 umx-4.80.0/umx/man/umx_set_optimization_options.Rd                |   39 
 umx-4.80.0/umx/man/umx_set_optimizer.Rd                           |   58 
 umx-4.80.0/umx/man/umx_set_plot_file_suffix.Rd                    |   39 
 umx-4.80.0/umx/man/umx_set_plot_format.Rd                         |   39 
 umx-4.80.0/umx/man/umx_set_separator.Rd                           |   41 
 umx-4.80.0/umx/man/umx_set_silent.Rd                              |   39 
 umx-4.80.0/umx/man/umx_set_table_format.Rd                        |   39 
 umx-4.80.0/umx/man/umx_stack.Rd                                   |   57 
 umx-4.80.0/umx/man/umx_standardize.Rd                             |  185 
 umx-4.80.0/umx/man/umx_str_chars.Rd                               |   22 
 umx-4.80.0/umx/man/umx_str_from_object.Rd                         |   22 
 umx-4.80.0/umx/man/umx_string_to_algebra.Rd                       |  189 
 umx-4.80.0/umx/man/umx_strings2numeric.Rd                         |   51 
 umx-4.80.0/umx/man/umx_tail.Rd                                    |only
 umx-4.80.0/umx/man/umx_time.Rd                                    |   28 
 umx-4.80.0/umx/man/umx_trim.Rd                                    |   23 
 umx-4.80.0/umx/man/umx_tutorials.Rd                               |only
 umx-4.80.0/umx/man/umx_var.Rd                                     |   38 
 umx-4.80.0/umx/man/umx_wide2long.Rd                               |   35 
 umx-4.80.0/umx/man/umx_wide2longTwinData.Rd                       |   22 
 umx-4.80.0/umx/man/umx_wide4lmer.Rd                               |   40 
 umx-4.80.0/umx/man/umx_write_to_clipboard.Rd                      |   14 
 umx-4.80.0/umx/man/umx_yj_wide_twin_data.Rd                       |   19 
 umx-4.80.0/umx/man/us_skinfold_data.Rd                            |   11 
 umx-4.80.0/umx/man/xgh_check_base_name.Rd                         |only
 umx-4.80.0/umx/man/xgh_get_current_branch.Rd                      |only
 umx-4.80.0/umx/man/xgh_git.Rd                                     |only
 umx-4.80.0/umx/man/xmuCalculateSRMR.Rd                            |only
 umx-4.80.0/umx/man/xmuHasSquareBrackets.Rd                        |  185 
 umx-4.80.0/umx/man/xmuLabel.Rd                                    |   23 
 umx-4.80.0/umx/man/xmuLabel_MATRIX_Model.Rd                       |  185 
 umx-4.80.0/umx/man/xmuLabel_Matrix.Rd                             |  185 
 umx-4.80.0/umx/man/xmuLabel_RAM_Model.Rd                          |  185 
 umx-4.80.0/umx/man/xmuMI.Rd                                       |  185 
 umx-4.80.0/umx/man/xmuMakeOneHeadedPathsFromPathList.Rd           |  185 
 umx-4.80.0/umx/man/xmuMakeTwoHeadedPathsFromPathList.Rd           |  185 
 umx-4.80.0/umx/man/xmuMaxLevels.Rd                                |  185 
 umx-4.80.0/umx/man/xmuMinLevels.Rd                                |  185 
 umx-4.80.0/umx/man/xmuPropagateLabels.Rd                          |  185 
 umx-4.80.0/umx/man/xmuRAM2Ordinal.Rd                              |  189 
 umx-4.80.0/umx/man/xmuTwinSuper_Continuous.Rd                     |  185 
 umx-4.80.0/umx/man/xmuTwinSuper_NoBinary.Rd                       |  185 
 umx-4.80.0/umx/man/xmuTwinUpgradeMeansToCovariateModel.Rd         |  185 
 umx-4.80.0/umx/man/xmuValues.Rd                                   |   23 
 umx-4.80.0/umx/man/xmu_CI_merge.Rd                                |  191 
 umx-4.80.0/umx/man/xmu_CI_stash.Rd                                |  189 
 umx-4.80.0/umx/man/xmu_DF_to_mxData_TypeCov.Rd                    |  189 
 umx-4.80.0/umx/man/xmu_PadAndPruneForDefVars.Rd                   |  185 
 umx-4.80.0/umx/man/xmu_WLS_align_jacobian.Rd                      |only
 umx-4.80.0/umx/man/xmu_WLS_align_weight.Rd                        |only
 umx-4.80.0/umx/man/xmu_WLS_polycor_names.Rd                       |only
 umx-4.80.0/umx/man/xmu_ace_de_apply_censor_thresholds.Rd          |only
 umx-4.80.0/umx/man/xmu_ace_de_parse_censor_meta.Rd                |only
 umx-4.80.0/umx/man/xmu_ace_de_parse_censor_rule.Rd                |only
 umx-4.80.0/umx/man/xmu_ace_de_release_binary_v1.Rd                |only
 umx-4.80.0/umx/man/xmu_bracket_address2rclabel.Rd                 |  189 
 umx-4.80.0/umx/man/xmu_catml_df3_diagnostic.Rd                    |only
 umx-4.80.0/umx/man/xmu_catml_discrepancy_at_WLS.Rd                |only
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Package tidymedia updated to version 0.2.2 with previous version 0.2.1 dated 2026-10-10

Title: Media File Preprocessing and Metadata for the 'tidyverse'
Description: Batch preprocessing and metadata extraction for audio, video and image files, built on the command-line programs 'FFmpeg' (<https://ffmpeg.org/>) and 'MediaInfo' (<https://mediaarea.net/en/MediaInfo>). Trim, crop, scale, convert and standardize files one at a time or across a whole directory, and read container and stream metadata back as tibbles for use with the 'tidyverse'.
Author: Jeffrey Girard [aut, cre]
Maintainer: Jeffrey Girard <me@jmgirard.com>

Diff between tidymedia versions 0.2.1 dated 2026-10-10 and 0.2.2 dated 2026-10-11

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Package secr updated to version 5.5.1 with previous version 5.4.3 dated 2026-05-27

Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford [aut, cre] , Philipp Jund [ctb] , David Fletcher [ctb] , Yan Ru Choo [ctb]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package rupturesRcpp updated to version 2.0.0 with previous version 1.0.3 dated 2026-09-18

Title: Object-Oriented Interface for Offline Change-Point Detection
Description: A collection of efficient implementations of popular offline change-point detection algorithms, featuring a consistent, object-oriented interface for practical use.
Author: Minh Long Nguyen [aut, cre], Toby Hocking [aut], Charles Truong [aut], Huy Nhat Minh Nguyen [ctb]
Maintainer: Minh Long Nguyen <edelweiss611428@gmail.com>

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Package Qindex updated to version 0.2.2 with previous version 0.2.1 dated 2026-08-26

Title: A Legacy Package
Description: The author has retired from academic research. Accordingly, this package should not be considered a validated tool for use in peer-reviewed publications or as the basis for grant applications. Backward compatibility with user-code published in <doi:10.1186/s12859-023-05408-8>, <doi:10.1016/j.labinv.2023.100158> and <doi:10.1093/bioinformatics/btaf182> is not maintained in versions >= 0.4.0 (June 2026) of this package. The authors of those publications are the appropriate contacts for reproducibility inquiries.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package hyper.gam updated to version 0.3.4 with previous version 0.3.3 dated 2026-08-25

Title: Generalized Additive Models with Hyper Column
Description: An interactive HTML widget of the perspective plot for generalized additive models; an alternative solution of the function mgcv::vis.gam(). This R package author has retired from academic research. Accordingly, this package should not be considered a validated tool for use in peer-reviewed publications or as the basis for grant applications. Backward compatibility with user-code published in <doi:10.1093/bioinformatics/btaf182> and <doi:10.1093/bioinformatics/btaf430> is not maintained in versions >= 0.3.0 (June 2026) of this package. The authors of those publications are the appropriate contacts for reproducibility inquiries.
Author: Tingting Zhan [aut, cre], Erjia Cui [ctb]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package glmtree readmission to version 0.4.0 with previous version 0.3.1 dated 2024-03-06

Title: Logistic Regression Trees
Description: A logistic regression tree is a decision tree with logistic regressions at its leaves. A particular stochastic expectation maximization algorithm is used to draw a few good trees, that are then assessed via the user's criterion of choice among BIC / AIC / test set Gini. The formal development is given in a PhD chapter, see Ehrhardt (2019) <https://github.com/adimajo/manuscrit_these/releases/>.
Author: Adrien Ehrhardt [aut, cre]
Maintainer: Adrien Ehrhardt <adrien.ehrhardt@polytechnique.edu>

This is a re-admission after prior archival of version 0.3.1 dated 2024-03-06

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Package countries updated to version 1.2.5 with previous version 1.2.4 dated 2026-07-18

Title: Deal with Country Data in an Easy Way
Description: Wrangle country data more effectively and quickly. This package contains functions to easily identify and convert country names, download country information, merge country data from different sources, and make quick world maps.
Author: Francesco Saverio Bellelli [aut, cre, cph]
Maintainer: Francesco Saverio Bellelli <fsabellelli@gmail.com>

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Package clampSeg updated to version 1.3-1 with previous version 1.3-0 dated 2026-10-08

Title: Idealisation of Patch Clamp Recordings
Description: Implements the model-free multiscale idealisation approaches: Jump-Segmentation by MUltiResolution Filter (JSMURF), Hotz et al. (2013) <doi:10.1109/TNB.2013.2284063>, JUmp Local dEconvolution Segmentation filter (JULES), Pein et al. (2018) <doi:10.1109/TNB.2018.2845126>, and Heterogeneous Idealization by Local testing and DEconvolution (HILDE), Pein et al. (2021) <doi:10.1109/TNB.2020.3031202>. Further details on how to use them are given in Pein, Eltzner and Munk (2021) <doi:10.1007/s00249-021-01506-8>.
Author: Florian Pein [aut, cre], Timo Aspelmeier [ctb]
Maintainer: Florian Pein <f.pein@lancaster.ac.uk>

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Package swash updated to version 3.0.1 with previous version 3.0.0 dated 2026-10-02

Title: Health Geography Toolbox for Model-Based Analysis of Infections Panel Data
Description: Within epidemic outbreaks, infections grow and decline differently between regions, and the velocity of spatial spread differs between countries. The swash library offers a set of model-based analyses for these topics. Spread velocity may be analysed with the Swash-Backwash Model for the Single Epidemic Wave by Cliff and Haggett (2006) <doi:10.1007/s10109-006-0027-8> and corresponding functions for bootstrap confidence intervals, country comparison, and visualization of results. Differences in epidemic growth between regions may be analysed using logistic growth models, exponential growth models, Hawkes processes and breakpoint analyses. Cluster and hotspot analyses can be conducted using neighborhood matrices. See Wieland (2020) <doi:10.18335/region.v7i2.324> for an application of some of the mentioned analysis methods. All functionalities are accessed by the class "infpan" for infections panel data defined in this package, which is built from a data.frame provided by the [...truncated...]
Author: Thomas Wieland [aut, cre]
Maintainer: Thomas Wieland <geowieland@googlemail.com>

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Package spacc updated to version 0.11.0 with previous version 0.8.3 dated 2026-06-20

Title: Fast Spatial Species Accumulation Curves
Description: High-performance spatial species accumulation curves using fixed-focus spatially constrained rarefaction, nearest-centroid expansion, and nearest-neighbor walks with a C++ backend for speed. Supports Hill numbers (q=0,1,2), beta diversity partitioning (turnover/nestedness) at site and pooled resolution, coverage-based rarefaction and extrapolation of alpha and beta diversity, phylogenetic diversity (PD; Faith's PD, EvoHeritage, mean pairwise distance, mean nearest taxon distance), functional diversity accumulation including aggregated functional diversity and intraspecific trait variation, phylogenetic and functional redundancy, interaction network accumulation, diversity-area relationships (DAR), endemism-area curves, sampling-effort correction and fragmentation analysis, species-area relationship (SAR) models based on extreme value theory (EVT), and area-based richness extrapolation via the total-species curve. Total richness is also estimated from frequency counts, including the acc [...truncated...]
Author: Gilles Colling [aut, cre, cph] , Marius Muja [ctb, cph] ), David G. Lowe [ctb, cph] ), Jose Luis Blanco [ctb, cph] )
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package rglobi readmission to version 0.3.6 with previous version 0.3.4 dated 2023-10-06

Title: Interface to Global Biotic Interactions
Description: A programmatic interface to the web service methods provided by Global Biotic Interactions ('GloBI') (<https://www.globalbioticinteractions.org/>). 'GloBI' provides access to spatial-temporal species interaction records from sources all over the world. 'rglobi' provides methods to search species interactions by location, interaction type, and taxonomic name.
Author: Jorrit Poelen [aut, cre], Stephen Gosnell [aut], Sergey Slyusarev [aut], Helen Waters [aut]
Maintainer: Jorrit Poelen <jhpoelen@jhpoelen.nl>

This is a re-admission after prior archival of version 0.3.4 dated 2023-10-06

Diff between rglobi versions 0.3.4 dated 2023-10-06 and 0.3.6 dated 2026-10-11

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Package repo.data updated to version 0.2.6 with previous version 0.2.2 dated 2026-06-20

Title: R Repositories Data
Description: Retrieve metadata about packages from repositories to explore package dependencies, links between help pages, aliases, package availability on a given date, and other repository-dependent outcome. In addition, it provides access to information about the processes at CRAN. This metadata can be used to help package maintainers and users navigate changes to dependencies and with reproducibility.
Author: Lluis Revilla Sancho [aut, cre, cph]
Maintainer: Lluis Revilla Sancho <lluis.revilla@gmail.com>

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Package polle updated to version 1.6.7 with previous version 1.6.6 dated 2026-10-10

Title: Policy Learning
Description: Package for learning and evaluating (subgroup) policies via doubly robust loss functions. Policy learning methods include doubly robust blip/conditional average treatment effect learning and sequential policy tree learning. Methods for (subgroup) policy evaluation include doubly robust cross-fitting and online estimation/sequential validation. See Nordland and Holst (2026) <doi:10.18637/jss.v116.i04> for documentation and references.
Author: Andreas Nordland [aut, cre], Klaus Holst [aut]
Maintainer: Andreas Nordland <andreasnordland@gmail.com>

Diff between polle versions 1.6.6 dated 2026-10-10 and 1.6.7 dated 2026-10-11

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Package OmicFlow updated to version 1.7.0 with previous version 1.6.0 dated 2026-05-19

Title: Fast and Efficient (Automated) Analysis of Sparse Omics Data
Description: A generalised data structure for fast and efficient loading and data munching of sparse omics data. The 'OmicFlow' requires an up-front validated metadata template from the user, which serves as a guide to connect all the pieces together by aligning them into a single object that is defined as an 'omics' class. Once this unified structure is established, users can perform manual subsetting, visualisation, and statistical analysis, or leverage the automated 'autoFlow' method to generate a comprehensive report.
Author: Alem Gusinac [aut, cre] , Thomas Ederveen [aut] , Annemarie Boleij [aut, fnd]
Maintainer: Alem Gusinac <alem.gusinac@gmail.com>

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Package MultiLevelOptimalBayes updated to version 0.1.0.0 with previous version 0.0.4.0 dated 2025-09-23

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

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Package MoNAn updated to version 2.0.0 with previous version 1.1.0 dated 2024-09-12

Title: Mobility Network Analysis
Description: Implements the method to analyse weighted mobility networks or distribution networks as outlined in: Block, P., Stadtfeld, C., & Robins, G. (2022) <doi:10.1016/j.socnet.2021.08.003>. The purpose of the model is to analyse the structure of mobility, incorporating exogenous predictors pertaining to individuals and locations known from classical mobility analyses, as well as modelling emergent mobility patterns akin to structural patterns known from the statistical analysis of social networks. Version 2 runs the simulations in 'C++' (using 'Rcpp') and, besides stochastic approximation (Robbins-Monro), can estimate parameters with Geyer-Thompson MCMC maximum likelihood estimation.
Author: Per Block [cre, aut, cph] , Christoph Stadtfeld [aut] , Nico Keiser [aut] , Marion Hoffman [aut] , Jingying Wang [aut]
Maintainer: Per Block <block@soziologie.uzh.ch>

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Package lfstat updated to version 0.9.15 with previous version 0.9.13 dated 2025-09-04

Title: Calculation of Low Flow Statistics for Daily Stream Flow Data
Description: The "Manual on Low-flow Estimation and Prediction" (Gustard & Demuth (2009, ISBN:978-92-63-11029-9)), published by the World Meteorological Organisation, gives a comprehensive summary on how to analyse stream flow data focusing on low-flows. This packages provides functions to compute the described statistics and produces plots similar to the ones in the manual.
Author: Tobias Gauster [ctb, cre], Gregor Laaha [aut] , Daniel Koffler [aut]
Maintainer: Tobias Gauster <t.gauster@gmail.com>

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Package ebrahim.gof updated to version 2.10.0 with previous version 2.9.0 dated 2026-10-01

Title: Goodness-of-Fit and Calibration Tests for Logistic Regression
Description: Provides a unified battery of goodness-of-fit and calibration tests for binary logistic regression, runnable in a single call via 'run.all.gof()'. Around twenty-five tests spanning five decades of literature are aggregated and grouped by the departure each is built to detect: global and standardized statistics, partition tests such as Hosmer-Lemeshow, directed and covariate-space tests, smoothing and resampling tests, and calibration tests. Each is obtained from its own package where installed and attributed to its authors. The package also implements the author's own procedures for sparse data, where the Hosmer-Lemeshow test loses power: the omnibus Ebrahim-Farrington test 'ef.gof()', the directed 'edge.gof()' and its covariate-space variant 'cdef.gof()', the Cauchy-combination ensemble 'edges.gof()', 'DeepGOF-1' (a pretrained convolutional statistic whose level comes from the analyst's own parametric bootstrap rather than from the network), and 'legoft()' (a frozen-weight combination [...truncated...]
Author: Ebrahim Khaled Ebrahim [aut, cre] , Jiawei Zhang [ctb, cph] , Jie Ding [ctb, cph] , Yuhong Yang [ctb, cph]
Maintainer: Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg>

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Package deseats updated to version 1.1.3 with previous version 1.1.2 dated 2026-03-16

Title: Data-Driven Locally Weighted Regression for Trend and Seasonality in TS
Description: Various methods for the identification of trend and seasonal components in time series (TS) are provided. Among them is a data-driven locally weighted regression approach with automatically selected bandwidth for equidistant short-memory time series. The approach is a combination / extension of the algorithms by Feng (2013) <doi:10.1080/02664763.2012.740626> and Feng, Y., Gries, T., and Fritz, M. (2020) <doi:10.1080/10485252.2020.1759598> and a brief description of this new method is provided in the package documentation and in more detail in Schulz (2026) <doi:10.32614/RJ-2026-025>. Furthermore, the package allows its users to apply the base model of the Berlin procedure, version 4.1, as described in Speth (2004) <https://www.destatis.de/DE/Methoden/Saisonbereinigung/BV41-methodenbericht-Heft3_2004.pdf?__blob=publicationFile>. Permission to include this procedure was kindly provided by the Federal Statistical Office of Germany.
Author: Yuanhua Feng [aut] , Dominik Schulz [aut, cre]
Maintainer: Dominik Schulz <dominik.schulz.r@gmail.com>

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Package coresynth updated to version 1.0.1 with previous version 0.5.0 dated 2026-08-25

Title: Fast and Unified Synthetic Control Methods
Description: A unified 'Formula' interface to the Synthetic Control Method (SCM) and related panel-data causal inference estimators: Synthetic Difference-in-Differences (SDID), Generalized Synthetic Control (GSC), Matrix Completion (MC), Time-Aware Synthetic Control (TASC), and Synthetic Interventions (SI), together with an experimental-design variant. Computational bottlenecks (quadratic programming, singular value decomposition, and Kalman filtering) are implemented in 'C++' via 'RcppArmadillo'. Methods are described in Abadie, Diamond and Hainmueller (2010) <doi:10.1198/jasa.2009.ap08746>, Arkhangelsky, Athey, Hirshberg, Imbens and Wager (2021) <doi:10.1257/aer.20190159>, Xu (2017) <doi:10.1017/pan.2016.2>, Athey, Bayati, Doudchenko, Imbens and Khosravi (2021) <doi:10.1080/01621459.2021.1891924>, and Agarwal, Shah and Shen (2025) <doi:10.1287/opre.2025.1590>.
Author: Yosuke Abe [aut, cre]
Maintainer: Yosuke Abe <yosuke.abe0507@gmail.com>

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Package openxlsx2 updated to version 1.30 with previous version 1.29 dated 2026-08-20

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], Olivier Roy [ctb], Paul Schmidt [ctb] , openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

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Package pkgstats updated to version 0.2.5 with previous version 0.2.4 dated 2026-07-21

Title: Metrics of R Packages
Description: Static code analyses for R packages using the external code-tagging libraries 'ctags' and 'gtags'. Static analyses enable packages to be analysed very quickly, generally a couple of seconds at most. The package also provides access to a database generating by applying the main function to the full 'CRAN' archive, enabling the statistical properties of any package to be compared with all other 'CRAN' packages.
Author: Mark Padgham [aut, cre] , Michael Sumner [ctb] , Jeffrey Hollister [ctb] , Egor Kotov [ctb]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package pkgdiff updated to version 1.0.5 with previous version 1.0.4 dated 2026-07-14

Title: Identifies Package Differences
Description: Identifies differences between versions of a package. Specifically, the functions help determine if there are breaking changes from one package version to the next. The package also includes a stability assessment, to help you determine the overall stability of a package, or even an entire repository.
Author: David Bosak [aut, cre], Brian Varney [ctb], Kevin Putschko [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package skmeans updated to version 0.2-21 with previous version 0.2-20 dated 2026-03-26

Title: Spherical k-Means Clustering
Description: Algorithms to compute spherical k-means partitions. Features several methods, including a genetic and a fixed-point algorithm and an interface to the CLUTO vcluster program.
Author: Kurt Hornik [aut, cre] , Ingo Feinerer [aut] , Martin Kober [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package shinyglass updated to version 0.5.0 with previous version 0.4.0 dated 2026-09-20

Title: Liquid Glass Design Themes for 'shiny' Applications
Description: Provides drop-in Liquid Glass themes for 'shiny'. Call glass_theme() and pass the result as theme = to fluidPage(), navbarPage(), or any 'bslib'-aware page function to get translucent surfaces, backdrop blur, and system typography on 'Bootstrap' components. Includes light and dark presets with runtime switching and an OS-following 'auto' mode, an iOS-style intensity control from Ultra Clear to Tinted, optional persistence of the look, named wallpaper scenes, helpers to match 'ggplot2', 'plotly', 'gt', and 'DT' output to the glass pack, a flatten mode for print and screenshots, and documented CSS tokens.
Author: Eric Anderson [aut, cre, cph]
Maintainer: Eric Anderson <eric.ray.anderson@gmail.com>

Diff between shinyglass versions 0.4.0 dated 2026-09-20 and 0.5.0 dated 2026-10-11

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More information about shinyglass at CRAN
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Package duckh3 updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-24

Title: H3 Extension of 'DuckDB'
Description: Fast & memory-efficient functions to analyze and manipulate large data sets. It leverages the fast analytical capabilities of 'DuckDB' and its spatial extension (see <https://duckdb.org/community_extensions/extensions/h3>) while maintaining compatibility with R’s spatial data ecosystem to work with spatial vector data.
Author: Adrian Cidre Gonzalez [aut, cre] , Egor Kotov [aut] , Rafael H. M. Pereira [aut]
Maintainer: Adrian Cidre Gonzalez <adrian.cidre@gmail.com>

Diff between duckh3 versions 0.1.0 dated 2026-04-24 and 0.2.0 dated 2026-10-11

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Package MFF updated to version 0.2.5 with previous version 0.2.4 dated 2026-08-31

Title: Meta Fuzzy Functions
Description: Implements Meta Fuzzy Functions (MFFs) for regression Tak and Ucan (2026) <doi:10.1016/j.asoc.2026.114592> by aggregating predictions from multiple base learners using membership weights learned in the prediction space of validation set. The package supports fuzzy and crisp meta-ensemble structures via Fuzzy C-Means (FCM) Tak (2018) <doi:10.1016/j.asoc.2018.08.009>, Possibilistic FCM (PFCM) Tak (2021) <doi:10.1016/j.ins.2021.01.024>, Gustafson–Kessel (GK) clustering, and k-means, and provides a workflow to (i) generate validation/test prediction matrices from common regression learners (linear and penalized regression via 'glmnet', random forests, gradient boosting with 'xgboost' and 'lightgbm'), (ii) fit cluster-wise meta fuzzy functions and compute membership-based weights, (iii) tune clustering-related hyperparameters (number of clusters/functions, fuzziness exponent, possibilistic regularization) via grid search on validation loss, and (iv) predict on new/test pre [...truncated...]
Author: Nihat Tak [aut, cre], Sadik Coban [ctb]
Maintainer: Nihat Tak <nihattak@gmail.com>

Diff between MFF versions 0.2.4 dated 2026-08-31 and 0.2.5 dated 2026-10-11

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Package lambdastar updated to version 0.8.2 with previous version 0.8.1 dated 2026-10-07

Title: Measurement and Linear Hypothesis Models for Lambda Star
Description: Estimates intrinsic and captured noncentrality from parallel measurements and evaluates the numerical parsimony functional for an explicitly encoded hypothesis matrix, formula, or compatible linear model. Includes common-case model comparisons, quantized entropy capacity, controlled temperature integration, and explicit singularity diagnostics. Uses manuscript projection estimates by default, with an explicit alternative population estimator. Supports common nuisance adjustment and ordinary case or cluster percentile bootstrap intervals, with diagnostics for undefined estimates and preserved model coding. Provides reusable row-bound design specifications and explicit conditional term blocks, named linear restrictions, explicit predictor-grid contrasts, and fixed or reevaluated basis recipes under a homogeneous isotropic measurement-fluctuation assumption. Supports explicit known-reference mean hypotheses and paired differences from parallel measurement pairs. Encodes fixed person-by-oc [...truncated...]
Author: Mike Hammes [aut, cre, cph]
Maintainer: Mike Hammes <mike.hammes@mikehammes.name>

Diff between lambdastar versions 0.8.1 dated 2026-10-07 and 0.8.2 dated 2026-10-11

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Package RegDDM (with last version 1.1) was removed from CRAN

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

2025-07-01 1.1
2024-12-05 1.0

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Package ngme2 (with last version 1.0.0) was removed from CRAN

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

2026-09-27 1.0.0
2026-05-20 0.9.8
2026-04-28 0.9.7

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Package fable.prophet updated to version 1.0.0 with previous version 0.1.1 dated 2026-10-02

Title: Prophet Modelling Interface for 'fable'
Description: Allows prophet models from the 'prophet' package to be used in a tidy workflow with the modelling interface of 'fabletools'. This extends 'prophet' to provide enhanced model specification and management, performance evaluation methods, and model combination tools.
Author: Mitchell O'Hara-Wild [aut, cre], Sean Taylor [ctb] , Ben Letham [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between fable.prophet versions 0.1.1 dated 2026-10-02 and 1.0.0 dated 2026-10-11

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