Thu, 29 Oct 2026

Package REDCapCAST updated to version 26.10.1 with previous version 26.1.1 dated 2026-01-29

Title: REDCap Metadata Casting and Castellated Data Handling
Description: Casting metadata for REDCap database creation and handling of castellated data using repeated instruments and longitudinal projects in 'REDCap'. Keeps a focused data export approach, by allowing to only export required data from the database. Also for casting new REDCap databases based on datasets from other sources. Originally forked from the R part of 'REDCapRITS' by Paul Egeler. See <https://github.com/pegeler/REDCapRITS>. 'REDCap' (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources (Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>; Harris et al (2019) <doi:10.1016/j.jbi.2019.103208> [...truncated...]
Author: Andreas Gammelgaard Damsbo [aut, cre] , Paul Egeler [aut]
Maintainer: Andreas Gammelgaard Damsbo <andreas@gdamsbo.dk>

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Package LOCOM2 updated to version 1.1 with previous version 1.0 dated 2026-05-04

Title: A Logistic Regression Model for Testing Microbial Differential Abundance
Description: Testing differential abundance at individual taxa and in a whole microbial community. The tests are based on the log-ratio of relative abundances. The tests accommodate continuous, discrete (binary, categorical), and multivariate traits, and allow adjustment of confounders. For more details see He (2026) <doi:10.64898/2026.04.07.716976>. This package also includes the 'com2seq' function that combines two sequencing datasets (e.g., from 16S marker-gene and shotgun sequencing) for integrative analysis of differential abundance. For more details see <doi:10.1080/01621459.2025.2516205>.
Author: Yi-Juan Hu [aut, cre]
Maintainer: Yi-Juan Hu <yijuanhu@bicmr.pku.edu.cn>

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Package emhawkes updated to version 1.0.2 with previous version 1.0.1 dated 2026-10-18

Title: Exponential Multivariate Hawkes Model
Description: Simulate and fit multivariate Hawkes models with exponential kernels, introduced by Hawkes (1971) <doi:10.2307/2334319>. Includes marked, state-dependent, and multi-kernel specifications. Parameter estimation uses maximum likelihood, following Ozaki (1979) <doi:10.1007/BF02480272>, through the optional 'maxLik' package or the optimization functions supplied with R.
Author: Kyungsub Lee [aut, cre]
Maintainer: Kyungsub Lee <kyungsub@gmail.com>

Diff between emhawkes versions 1.0.1 dated 2026-10-18 and 1.0.2 dated 2026-10-29

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Package cusna updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-15

Title: Native Simulation and Estimation of Network Models
Description: A self-contained native engine (a C interface over C++ host logic) for stochastic actor-oriented models (the model family of 'RSiena'), exponential random graph models (cross-sectional, temporal, and separable temporal), and models for binary actor attributes, callable from R without a Python runtime. The CRAN build is CPU-only (C++17, multi-threaded with 'OpenMP'); a 'CUDA' backend implements the same interface and is built separately from source. The data preparation, host statistics ('RSiena' Appendix B conventions), and moment targets are validated bit-for-bit against the reference implementation and reproduce 'RSiena' targets on public datasets to machine precision; the estimators match 'RSiena', 'ergm', 'btergm', and 'tergm' on public benchmark models. The method-of-moments estimator returns standard fit objects with the simulated networks on request, and the simulator also plugs into the unmodified 'RSiena' estimator.
Author: Artem Maltsev [aut, cre]
Maintainer: Artem Maltsev <MaltsevSNA@proton.me>

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New package RWInfoLSTM with initial version 0.1.0
Package: RWInfoLSTM
Title: Random Walk-Informed LSTM for Time Series Forecasting
Version: 0.1.0
Maintainer: Ranjit Kumar Paul <ranjitstat@gmail.com>
Description: Implements a Random Walk (RW)-informed Long Short-Term Memory (LSTM) network for univariate time series forecasting. The LSTM is trained on the full series with a composite loss that blends the usual mean squared error (MSE) between predictions and observations with the MSE between predictions and the fitted Random Walk, weighted by a parameter lambda (0 gives a standard LSTM, 1 gives a fully RW-guided LSTM). The Random Walk, either simple or with drift, is selected automatically by its in-sample root mean squared error (RMSE), and the lambda value with the lowest training RMSE is retained. The LSTM hyperparameters can be supplied manually or tuned by grid search, and functions for out-of-sample forecasting, accuracy measures and plots are provided. The methodology is motivated by hybrid forecasting framework proposed by Yeasin and Paul (2024) <doi:10.1007/s11227-023-05542-3>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: torch (>= 0.11.0), coro, ggplot2 (>= 3.4.0), cli (>= 3.6.0), stats, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-19 16:24:45 UTC; borap
Author: Md Yeasin [aut], Ranjit Kumar Paul [aut, cre], Pushkar Bora [aut]
Repository: CRAN
Date/Publication: 2026-10-29 12:00:02 UTC

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New package powerup with initial version 0.3.1
Package: powerup
Title: Power Up Your PowerPoint Presentations
Version: 0.3.1
Description: Programmatically interact with new or existing 'Microsoft PowerPoint' documents, by adding new slides, updating existing slides, and inserting displays into specific locations in slides. Users can also add transition effects to slides, and add displays to specific locations in slides by pointing to specific placeholders or creating new ones. Preview the slides in a local viewer.
License: Apache License (>= 2)
URL: https://gsk-biostatistics.github.io/powerup/, https://github.com/GSK-Biostatistics/powerup/
BugReports: https://github.com/GSK-Biostatistics/powerup/issues/
Depends: R (>= 4.1.0), polish (>= 0.2.0)
Imports: rlang, dplyr, officer (>= 0.6.7), purrr, tibble, xml2, cli, glue, ggplot2, htmltools, base64enc, shiny
Suggests: testthat (>= 3.0.0), rmarkdown, webshot2, knitr, flextable, withr
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-19 12:57:39 UTC; ehh82309
Author: Ellis Hughes [aut, cre] , Shannon Haughton [aut], Romain Francois [aut], GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Ellis Hughes <ellis.h.hughes@gsk.com>
Repository: CRAN
Date/Publication: 2026-10-29 11:50:02 UTC

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New package MultinomFourier with initial version 1.0
Package: MultinomFourier
Title: p-Values of Multinomial Goodness-of-Fit Tests by Fourier Series Inversion
Version: 1.0
Author: Charles Thraves [aut], Pablo Rivas [aut, cre], Felipe Subiabre [aut]
Maintainer: Pablo Rivas <pablo.rivas.g@ug.uchile.cl>
Description: Computes p-values of multinomial goodness-of-fit tests based on an additive statistic: the log-likelihood ratio, Pearson's chi-squared, the Cressie-Read power divergence, and the exact multinomial test. The main function, pval_fourier(), writes the p-value as a Fourier series in the moment-generating function of the statistic and sums it until an adaptive stopping rule is met, which makes small p-values of large instances computationally feasible. The function pval_exact() computes the exact p-value by branch pruning with bounds from a dynamic program, and pval_flexible() chooses between the two according to the size of the instance.
License: GPL (>= 2)
Encoding: UTF-8
Imports: parallel
Suggests: knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-19 16:00:50 UTC; itspa
Repository: CRAN
Date/Publication: 2026-10-29 12:00:07 UTC

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Package movecost updated to version 3.1.0 with previous version 3.0.0 dated 2026-06-15

Title: Calculation of Slope-Dependant Accumulated Cost Surface, Least-Cost Paths, Least-Cost Corridors, Least-Cost Networks Related to Human Movement Across the Landscape
Description: Provides the facility to calculate non-isotropic accumulated cost surfaces, least-cost paths, least-cost corridors, least-cost networks, ranked alternative paths, cost allocation and cost boundaries, using a number of human-movement-related cost functions that can be selected by the user. The terrain factor can be set as a single value or vary across the landscape via a raster of terrain factors or terrain classes. The package is built around a compute-once design: a single cost surface object is created first and then reused by every analysis function, avoiding redundant computation. Visualisation is fully decoupled from computation and is provided through 'ggplot2' methods that can be invoked, customised, and re-invoked at any time without re-running any analysis. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

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New package MixedDiversityAnalysis with initial version 0.1.0
Package: MixedDiversityAnalysis
Title: Analysis and Visualization of Mixed-Trait Dissimilarity
Version: 0.1.0
Description: Provides methods for analysing datasets containing quantitative, qualitative, binary, and ordinal traits. Computes mixed-trait dissimilarities and performs hierarchical clustering using multiple linkage methods. Supports principal coordinates analysis (PCoA), cluster evaluation, trait contribution analysis, and graphical visualization. The package facilitates mixed-trait diversity assessment and characterization of crop germplasm. For more detail see Gower (1971) <doi:10.2307/2528823> and Jukanti et al. (2026) <doi:10.1007/s44187-025-00715-w>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: cluster
NeedsCompilation: no
Packaged: 2026-10-19 09:00:18 UTC; Dr. Prabhat
Author: Santosha Rathod [aut], Prabhat Kumar [aut, cre], A. K. Jukanti [aut], Radha Upadhyay [aut], Prashantkumar S Hanjagi [aut], Basavaraj PS [aut], R. N. Singh [aut], Anil Kumar [aut]
Maintainer: Prabhat Kumar <prabhatkkv@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-29 11:10:07 UTC

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Package mighty.metadata updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-15

Title: Manage 'CDISC' 'ADaM' Dataset Specifications in 'YAML' Format
Description: Load, validate, and manipulate Clinical Data Interchange Standards Consortium ('CDISC') Analysis Data Model ('ADaM') dataset metadata stored as 'YAML' files. Metadata files are validated against a JSON schema. Provides functions to inspect and modify columns, parameters, and row-level operations within and across 'ADaM' domains. Designed for use with the 'mighty' framework.
Author: Aksel Thomsen [aut, cre], Ari Siggaard Knoph [aut], Matthew Phelps [aut], Giulia Pais [aut], Katarzyna Graczyk [aut], Michael Hedegaard Thomsen [aut], Novo Nordisk A/S [cph]
Maintainer: Aksel Thomsen <oath@novonordisk.com>

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New package maxtwin with initial version 0.1.0
Package: maxtwin
Title: A Robust Deterministic Data Splitting Method
Version: 0.1.0
Description: Provides a deterministic method for splitting data into training and testing sets that maximizes the distance between training and testing points while preserving their distributions. See Joseph and Cho (in press) for details. This work is supported by U.S. National Science Foundation grant DMS-2310637.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: FNN, twinning (>= 1.1)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-19 12:50:11 UTC; ycho397
Author: Youngseo Cho [aut, cre], V. Roshan Joseph [aut]
Maintainer: Youngseo Cho <ycho397@gatech.edu>
Repository: CRAN
Date/Publication: 2026-10-29 11:40:02 UTC

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Package irace updated to version 4.5.1 with previous version 4.5 dated 2026-09-15

Title: Iterated Racing for Automatic Algorithm Configuration
Description: Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem. M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, T. Stützle, and M. Birattari (2016) <doi:10.1016/j.orp.2016.09.002>.
Author: Manuel Lopez-Ibanez [aut, cre] , Jeremie Dubois-Lacoste [aut], Leslie Perez Caceres [aut], Thomas Stuetzle [aut], Mauro Birattari [aut], Eric Yuan [ctb], Prasanna Balaprakash [ctb], Nguyen Dang [ctb]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>

Diff between irace versions 4.5 dated 2026-09-15 and 4.5.1 dated 2026-10-29

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New package IFARIMA with initial version 0.1.0
Package: IFARIMA
Title: Intuitionistic Fuzzy Autoregressive Integrated Moving Average Model
Version: 0.1.0
Description: The Intuitionistic Fuzzy Autoregressive Integrated Moving Average model offers advanced time series forecasting by integrating intuitionistic fuzzy sets with ARIMA. It enhances prediction accuracy by handling uncertainties and hesitations more effectively than traditional models, making it ideal for complex, real-world data applications. The package has been developed using the algorithm of Yolcu and Yolcu (2023) <doi:10.1016/j.eswa.2022.119336>.
License: GPL-3
Encoding: UTF-8
Imports: stats, forecast
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-19 14:26:45 UTC; borap
Author: Anita Sarkar [aut], Ankit Kumar Singh [aut], Md Yeasin [aut, cre], Ranjit Kumar Paul [aut], Amrit Kumar Paul [aut], Pushkar Bora [aut]
Maintainer: Md Yeasin <yeasin.iasri@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-29 11:50:09 UTC

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New package glt with initial version 1.0
Package: glt
Title: Bayesian Factor Modelling via Generalized Lower Triangular Priors
Version: 1.0
Description: Sparse Bayesian factor models for multivariate data, built around a flexible Generalized Lower Triangular (GLT) process prior on the loading matrix by Canale and Frühwirth-Schnatter (2026) <doi:10.48550/arXiv.2610.09762>. The number of active factors, their sparsity pattern, and the loadings themselves are learned jointly via a Markov chain Monte Carlo sampler implemented in C++ with 'Rcpp' and 'RcppArmadillo'.
License: GPL-2
Encoding: UTF-8
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, sparvaride
NeedsCompilation: yes
Packaged: 2026-10-19 11:18:16 UTC; antonio
Author: Antonio Canale [aut, cre]
Maintainer: Antonio Canale <antonio.canale@unipd.it>
Repository: CRAN
Date/Publication: 2026-10-29 11:10:01 UTC

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Package creditratingsystem updated to version 0.1.1 with previous version 0.1.0 dated 2026-10-28

Title: Offline Credit Risk Modelling, Calibration and Validation
Description: Native credit risk calculations, statistical estimation, calibration, validation and cash flow simulation using local structured data. Methods cover consumer and business lending with explicit modelling assumptions, diagnostics and reproducible reference data.
Author: RiskDataScience GmbH [aut, cph], Dimitrios Geromichalos [cre]
Maintainer: Dimitrios Geromichalos <riskdatascience@web.de>

Diff between creditratingsystem versions 0.1.0 dated 2026-10-28 and 0.1.1 dated 2026-10-29

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 README.md                                       |    5 +++
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Package covsim updated to version 1.2.0 with previous version 1.1.0 dated 2024-05-31

Title: VITA, IG, PLSIM and VM Simulation for Given Covariance and Marginals
Description: Random sampling from distributions with user-specified population covariance matrix. Marginal information may be fully specified, for which the package implements the VITA (VIne-To-Anything) algorithm Grønneberg and Foldnes (2017) <doi:10.1007/s11336-017-9569-6>. See also Grønneberg, Foldnes and Marcoulides (2022) <doi:10.18637/jss.v102.i03>. Alternatively, marginal skewness and kurtosis may be specified, for which the package implements the IG (independent generator), PLSIM (piecewise linear) and VM (Vale-Maurelli) algorithms, see Foldnes and Olsson (2016) <doi:10.1080/00273171.2015.1133274>, Foldnes and Grønneberg (2021) <doi:10.1080/10705511.2021.1949323> and Vale and Maurelli (1983) <doi:10.1007/BF02293687>, respectively.
Author: Njaal Foldnes [aut, cre], Steffen Groenneberg [aut]
Maintainer: Njaal Foldnes <njal.foldnes@gmail.com>

Diff between covsim versions 1.1.0 dated 2024-05-31 and 1.2.0 dated 2026-10-29

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New package bmetapred with initial version 0.1.0
Package: bmetapred
Title: Bayesian Meta-Prediction in the Presence of Prediction Error
Version: 0.1.0
Description: Fits pseudo-Bayesian Model Averaging (pBMA) and Bayesian Stacking ensembles of linear meta-models while explicitly accounting for the prediction errors of the individual models, building on the Bayesian Stacking of predictive distributions framework of Yao et al. (2018) <doi:10.1214/17-BA1091>. When native uncertainty estimates are unavailable, it provides tools to estimate heteroscedastic errors via Local Polynomial Regression (LOESS). The meta-model space is explored using exhaustive search, a Markov Chain Monte Carlo Model Composition (MC3) algorithm following Madigan and Raftery (1994) <doi:10.1080/01621459.1994.10476894> when pBMA is selected, or a tabu-guided heuristic search with parallel tempering when bayesian stacking is selected, all powered by 'brms' (Bürkner, 2017 <doi:10.18637/jss.v080.i01>).
License: GPL (>= 3)
Encoding: UTF-8
Imports: brms, future, future.apply, loo, stats, utils
NeedsCompilation: no
Packaged: 2026-10-19 12:51:46 UTC; General
Author: Jorge Piqueras Marques [aut, cre] , Anabel Forte Deltell [aut] , Joaquin Martinez Minaya [ctb]
Maintainer: Jorge Piqueras Marques <jorge.piqueras.m@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-29 11:40:07 UTC

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New package aidatabroker with initial version 0.1.0
Package: aidatabroker
Title: Read Open Data on the AI Training Data Market
Version: 0.1.0
Description: Downloads the open datasets published by 'AIData.Broker' on the market for AI training data: public prices, licensing deals, buyers, vendors, lawsuits and related tables, each row with its source, from <https://aidata.broker/datasets>. The data are licensed CC BY 4.0.
License: MIT + file LICENSE
URL: https://aidata.broker/datasets
Encoding: UTF-8
Imports: utils
NeedsCompilation: no
Packaged: 2026-10-18 13:44:47 UTC; yuma2
Author: Yuma Heymans [aut, cre]
Maintainer: Yuma Heymans <hello@aidata.broker>
Repository: CRAN
Date/Publication: 2026-10-29 11:20:10 UTC

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New package SWORD with initial version 0.1.0
Package: SWORD
Title: Support Vector Machine Weighted Oblique Random Decision Forests
Version: 0.1.0
Description: Implements SWORD (Support vector machine Weighted Oblique Random Decision forests), a random forest method for regression based on TORS (Tree Oblique for Regression with weighted SVM) oblique regression trees. At each internal node a Weighted-SVM classifier with a linear kernel defines the oblique splitting hyperplane as a sparse linear combination of predictors. The C++ coordinate-descent solver provides fast training. Variable importance is computed via OIW-VI (Oblique Impurity-Weighted Variable Importance). Provides tree fitting (TORS), forest fitting (SWORD), prediction, and variable importance (VI_SWORD). Parallel tree fitting is supported via the 'future'/'furrr' framework. The SWORD method is described in Carta and Frigau (accepted, in press) 'Oblique Random Forests for Regression via Weighted Support Vector Machine', Advances in Data Analysis and Classification. The TORS algorithm is described in Carta and Frigau (2025) <doi:10.1007/s00180-025-01647-w>. The weighted SVM i [...truncated...]
License: GPL-3
URL: https://github.com/acarta88/sword-package
BugReports: https://github.com/acarta88/sword-package/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests: infotheo, furrr, progressr, future, visNetwork, microbenchmark, knitr, rmarkdown, ggplot2, MASS, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-19 09:02:03 UTC; acart
Author: Andrea Carta [aut, cre] , Luca Frigau [aut]
Maintainer: Andrea Carta <andrea.carta88@unica.it>
Repository: CRAN
Date/Publication: 2026-10-29 10:40:02 UTC

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Package rms updated to version 8.2-0 with previous version 8.1-1 dated 2026-02-18

Title: Regression Modeling Strategies
Description: Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families and types of censoring with optional random effects, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.
Author: Frank E Harrell Jr [aut, cre]
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

Diff between rms versions 8.1-1 dated 2026-02-18 and 8.2-0 dated 2026-10-29

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Package HistDAWass updated to version 1.0.10 with previous version 1.0.9 dated 2026-10-18

Title: Histogram-Valued Data Analysis
Description: In the framework of Symbolic Data Analysis, a relatively new approach to the statistical analysis of multi-valued data, we consider histogram-valued data, i.e., data described by univariate histograms. The methods and the basic statistics for histogram-valued data are mainly based on the L2 Wasserstein metric between distributions, i.e., the Euclidean metric between quantile functions. The package contains unsupervised classification techniques, least square regression and tools for histogram-valued data and for histogram time series. An introducing paper is Irpino A. Verde R. (2015) <doi: 10.1007/s11634-014-0176-4>.
Author: Antonio Irpino [aut, cre]
Maintainer: Antonio Irpino <antonio.irpino@unicampania.it>

Diff between HistDAWass versions 1.0.9 dated 2026-10-18 and 1.0.10 dated 2026-10-29

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Package deepSTRAPP updated to version 1.1.1 with previous version 1.1.0 dated 2026-09-27

Title: Test for Differences in Diversification Rates over Time
Description: Employ time-calibrated phylogenies and trait/range data to test for differences in diversification rates over evolutionary time. Extend the STRAPP test from BAMMtools::traitDependentBAMM() to any time step along phylogenies. See inst/COPYRIGHTS for details on third-party code.
Author: Mael Dore [aut, cre, cph] , Dan Rabosky [ctb], Mike Grundler [ctb], Huateng Huang [ctb], Pascal Title [ctb], Liam Revell [ctb], Nicholas J. Matzke [ctb]
Maintainer: Mael Dore <mael.dore@gmail.com>

Diff between deepSTRAPP versions 1.1.0 dated 2026-09-27 and 1.1.1 dated 2026-10-29

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Package cthist (with last version 2.1.12) was removed from CRAN

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

2025-08-29 2.1.12
2024-07-17 2.1.11
2024-07-09 2.1.10
2024-06-01 2.1.9
2023-12-01 2.1.6
2023-11-04 2.1.4
2023-11-02 2.1.3
2023-07-10 2.1.0
2023-07-09 2.0.0
2023-06-27 1.4.2
2023-03-06 1.4.1
2022-12-16 1.4.0

Permanent link
Package Epoch (with last version 1.0.7) was removed from CRAN

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

2025-11-22 1.0.7
2025-09-03 1.0.3

Permanent link
Package zstd updated to version 0.1.1 with previous version 0.1.0 dated 2026-10-20

Title: Zstandard Compression
Description: Compress and decompress data with the 'Zstandard' algorithm <https://meta.github.io/zstd/>, a fast lossless compression format. Works on raw vectors in memory and on files, and can create and extract 'zstd' compressed 'tar' archives. Supports compression levels, multithreaded compression, long distance matching, content checksums, and training dictionaries for better compression of small, similar inputs.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd] , Yann Collet [aut] , Meta Platforms, Inc. and affiliates. [cph] , rxi [aut, cph]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package msm updated to version 1.9 with previous version 1.8.2 dated 2024-11-07

Title: Multi-State Markov and Hidden Markov Models in Continuous Time
Description: Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.
Author: Christopher Jackson [aut, cre]
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

Diff between msm versions 1.8.2 dated 2024-11-07 and 1.9 dated 2026-10-29

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Package hubUtils updated to version 1.3.0 with previous version 1.2.1 dated 2026-07-15

Title: Core 'hubverse' Utilities
Description: Core set of low-level utilities common across the 'hubverse'. Used to interact with 'hubverse' schema, Hub configuration files and model outputs and designed to be primarily used internally by other 'hubverse' packages. See Reich et al. (2022) <doi:10.2105/AJPH.2022.306831> for an overview of Collaborative Hubs.
Author: Anna Krystalli [aut, cre] , Li Shandross [aut], Nicholas G. Reich [ctb] , Evan L. Ray [ctb], Zhian N. Kamvar [ctb] , Consortium of Infectious Disease Modeling Hubs [cph]
Maintainer: Anna Krystalli <annakrystalli@googlemail.com>

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Package heteroTests updated to version 0.16.0 with previous version 0.11.2 dated 2026-09-26

Title: Heteroscedasticity Diagnostics for Linear Models
Description: Provides a unified set of heteroscedasticity diagnostics for linear-model workflows. It implements classical auxiliary-regression tests, including those of White (1980) <doi:10.2307/1912934>, Breusch and Pagan (1979) <doi:10.2307/1911963>, Koenker (1981) <doi:10.1016/0304-4076(81)90062-2>, Goldfeld and Quandt (1965) <doi:10.1080/01621459.1965.10480811> and Harvey (1976) <doi:10.2307/1913974>; the score test of Cook and Weisberg (1983) <doi:10.1093/biomet/70.1.1>; the ARCH test of Engle (1982) <doi:10.2307/1912773>; and group-wise tests of equal variance, including those of Bartlett (1937) <doi:10.1098/rspa.1937.0109>, Brown and Forsythe (1974) <doi:10.1080/01621459.1974.10482955> and Hartley (1950) <doi:10.2307/2332383>. Resampling and scalable variants, simulation utilities, diagnostic visualisation and remediation helpers share a consistent interface designed for reproducible statistical workflows and integration with common [...truncated...]
Author: Diogo Ribeiro [aut, cre]
Maintainer: Diogo Ribeiro <dfr@esmad.ipp.pt>

Diff between heteroTests versions 0.11.2 dated 2026-09-26 and 0.16.0 dated 2026-10-29

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Package frictionless updated to version 2.0.1 with previous version 1.3.0 dated 2026-07-31

Title: Read and Write Frictionless Data Packages
Description: Read and write Frictionless Data Packages. A 'Data Package' (<https://datapackage.org/>) is a simple container format and standard to describe and package a collection of (tabular) data. It is typically used to publish FAIR (<https://www.gofair.foundation/fair-principles>) and open datasets.
Author: Peter Desmet [aut, cre] ), Damiano Oldoni [aut] ), Pieter Huybrechts [aut] ), Sanne Govaert [aut] ), Kyle Husmann [ctb] , Research Institute for Nature and Forest [cph] , Research Foundation - Flanders [fnd] , NLnet foundation [fnd] , Beatriz Milz [ [...truncated...]
Maintainer: Peter Desmet <peter.desmet@inbo.be>

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Package FastKRR updated to version 0.2.2 with previous version 0.2.1 dated 2026-07-21

Title: Kernel Ridge Regression using 'RcppArmadillo'
Description: Provides core computational operations in C++ via 'RcppArmadillo', enabling faster performance than pure R, improved numerical stability, and parallel execution with OpenMP where available. On systems without OpenMP support, the package automatically falls back to single-threaded execution with no user configuration required. For efficient model selection, it integrates with 'CVST' to provide sequential-testing cross-validation and additionally supports restricted maximum likelihood (REML) for continuous optimization of the regularization parameter. The package offers a unified interface for exact kernel ridge regression and three scalable approximations—Nyström, Pivoted Cholesky, and Random Fourier Features—allowing analyses with substantially larger sample sizes than are feasible with exact KRR. It also integrates with the 'tidymodels' ecosystem via the 'parsnip' model specification 'krr_reg', and the S3 method tunable.krr_reg(). To understand the theoretical background, one can refe [...truncated...]
Author: Gyeongmin Kim [aut] , Seyoung Lee [aut] , Miyoung Jang [aut] , Kwan-Young Bak [aut, cre, cph]
Maintainer: Kwan-Young Bak <kybak@sungshin.ac.kr>

Diff between FastKRR versions 0.2.1 dated 2026-07-21 and 0.2.2 dated 2026-10-29

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Package TrackTrap updated to version 1.1.0 with previous version 1.0.1 dated 2026-08-20

Title: Calculate and Visualize Degree-Days for Pest Monitoring
Description: Combines pest trap observations with daily temperatures to calculate and visualize cumulative degree-days. Temperature inputs include 'Daymet' <https://daymet.ornl.gov>, 'Open-Meteo' <https://open-meteo.com/>, reports from the California Irrigation Management Information System ('CIMIS') <https://cimis.water.ca.gov>, and user-supplied daily weather data. Degree-days are calculated using the simple-average method with either an upper threshold applied to the daily mean or an explicitly selected calculation without an upper cutoff. The first positive trap count defines the biofix for every pest, with accumulation beginning on the following day. Negative daily degree-day values are set to zero. Users can provide temperature thresholds and optional thermal reference values. Thermal reference markers and their multiples do not independently establish flight or generation identities. Complete daily calculations and weather provenance are retained with the output to support [...truncated...]
Author: Santosh Bhandari [aut, cre], Lalit Kharel [aut], Mahesh Ghimire [aut]
Maintainer: Santosh Bhandari <santoshbhandari4556@gmail.com>

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Package tceper updated to version 0.1.5 with previous version 0.1.4 dated 2026-06-01

Title: Access the 'Open Data API' of Pernambuco Court of Accounts
Description: An R interface to the 'Open Data API' of the Tribunal de Contas do Estado de Pernambuco (TCE-PE), the Court of Accounts of the State of Pernambuco, Brazil. Provides tidy, ready-to-use functions to query public data on revenues, expenditures, commitments, procurement, contracts, agreements, public works, legal processes, personnel and reference tables for all state and municipal government entities in Pernambuco. All results are returned as tibbles with column names converted to 'snake_case' by default. Uses 'httr2' for HTTP requests and 'cli' for user-friendly messages. See <https://sistemas.tcepe.tc.br/DadosAbertos/> for the API documentation.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package streamConnect readmission to version 0.1.1 with previous version 0.1.0 dated 2026-10-23

Title: Connecting Stream Mining Components Using Sockets and Web Services
Description: Adds functionality to connect stream mining components from the stream package using sockets and Web services. The package can be used to create distributed workflows and plumber-based Web services that can be deployed on most common cloud services.
Author: Michael Hahsler [aut, cre, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

This is a re-admission after prior archival of version 0.1.0 dated 2026-10-23

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Package semTests updated to version 2.0.0 with previous version 1.0.0 dated 2026-07-19

Title: Robust Test Statistics for Structural Equation Models
Description: Computes robust p-values for overall fit and nested comparisons of structural equation models fitted with 'lavaan'. Implements penalized eigenvalue block averaging and penalized regression (Foldnes, Moss, Grønneberg, 2025) <doi:10.1080/10705511.2024.2372028>, including their extension to nested models (Foldnes, Grønneberg, Moss, 2026) <doi:10.3758/s13428-026-02968-4>, alongside familiar corrections such as Satorra-Bentler. Supported settings include complete-data ML, GLS, and ULS, categorical DWLS and ULS, and full-information maximum likelihood with one or several groups. Score and criterion-difference tests of parameter restrictions are also available, including restrictions in misspecified models.
Author: Jonas Moss [aut, cre] , Njal Foldnes [ctb] , Steffen Groenneberg [ctb]
Maintainer: Jonas Moss <jonas.moss.statistics@gmail.com>

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Package scholar updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-07

Title: Analyse Citation Data from Google Scholar
Description: Provides tools to retrieve, analyse, and format publication and citation data from Google Scholar profiles. It supports profile lookup, publication records, citation histories, scholar comparison, coauthor networks, journal ranking queries, CV-ready publication lists, and citation metric summaries.
Author: Guangchuang Yu [aut, cre] , James Keirstead [aut], Gregory Jefferis [aut] , Gordon Getzinger [ctb], Jorge Cimentada [ctb], Max Czapanskiy [ctb], Dominique Makowski [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package rdomains updated to version 0.6.1 with previous version 0.6.0 dated 2026-10-27

Title: Get the Category of Content Hosted by a Domain
Description: Fetch website content and classify it through the Python 'piedomains' text model. Look up domains in 'UT-Capitole', Steven Black, university, archived 'Shallalist' and 'DMOZ' lists, or use 'VirusTotal' <https://www.virustotal.com/>, 'OpenAI' and 'Anthropic' APIs. Report collection outcomes and source provenance. Includes a historical domain-name classifier trained on 'Shallalist' data.
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>

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Package paramix updated to version 0.0.3 with previous version 0.0.2 dated 2025-06-10

Title: Aggregate and Disaggregate Continuous Parameters for Compartmental Models
Description: A convenient framework for aggregating and disaggregating continuously varying parameters (for example, case fatality ratio, with age) for proper parametrization of lower-resolution compartmental models (for example, with broad age categories) and subsequent upscaling of model outputs to high resolution (for example, as needed when calculating age-sensitive measures like years-life-lost). Methods and application to calculating years of life lost are described in Goodfellow et al. (2025) <doi:10.1371/journal.pcbi.1013420>.
Author: Carl Pearson [aut, cre] , Simon Proctor [aut] , Lucy Goodfellow [aut]
Maintainer: Carl Pearson <carl.ab.pearson@gmail.com>

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Package PanelSelect updated to version 2.0.0 with previous version 1.0.1 dated 2026-08-27

Title: Panel Sample Selection Models
Description: Fits sample selection models with continuous, binary, and count outcomes in panel and cross-sectional data. Model details are provided in Bailey and Peng (2025) <doi:10.2139/ssrn.5475626> and Peng and Van den Bulte (2024) <doi:10.1287/mnsc.2019.01897>.
Author: Jing Peng [aut, cre]
Maintainer: Jing Peng <jing.peng@uconn.edu>

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Package extrasteps readmission to version 0.3.1 with previous version 0.3.0 dated 2025-09-05

Title: More Miscellaneous Steps for the 'recipes' Package
Description: Contains additional miscellaneous steps for the 'recipes' package. These steps are useful, but doesn't have a good home in other 'recipes' packages or its extensions.
Author: Emil Hvitfeldt [aut, cre]
Maintainer: Emil Hvitfeldt <emilhhvitfeldt@gmail.com>

This is a re-admission after prior archival of version 0.3.0 dated 2025-09-05

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Package Entropic.Scree updated to version 1.0.2 with previous version 1.0.1 dated 2026-09-15

Title: Information-Theoretic Measurement Mapping and Rank Estimation
Description: Maps relationships among measurements using a double-centered, joint-entropy-normalized mutual information matrix. Provides informational-axis loadings, primary and extended spectral-boundary diagnostics, and spectral-volume and informational-gravity summaries for discrete and discretized tabular data. The selected Primary Informational Rank is a candidate information-spectrum boundary, not an identified generating dimension. Optional, explicitly recorded missing-data preparation supports categorical missing states and numeric median fills with protected missingness indicators. For methodological details, see Lee-St. John (2026) <doi:10.5281/zenodo.22028086>.
Author: Terrence J. Lee-St. John [aut, cre]
Maintainer: Terrence J. Lee-St. John <terry@enli.com.au>

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Package BIOdry updated to version 0.9.5 with previous version 0.9.1 dated 2025-04-03

Title: Multilevel Modeling of Dendroclimatical Fluctuations
Description: Processes multilevel ecological data series (MEDS) arranged in temporal or spatial hierarchies defined by sampling designs. The package recursively applies one-level stage functions to long-format tree-ring and climate data, then optionally fits a terminal model to the processed series. Terminal fits currently include mixed-effects detrending through 'nlme' and Friedman supersmoother detrending through supsmu() of 'stats'. The package also supports post-detrending comparison and inference tools for multilevel dendroclimatic analyses. The method is described in Lara et al. (2018) <doi:10.1371/journal.pone.0196923>.
Author: Wilson Lara-Henao [aut, cre] , Felipe Bravo [aut]
Maintainer: Wilson Lara-Henao <wilarhen@gmail.com>

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Package actimetrics updated to version 0.10.0 with previous version 0.9.0 dated 2026-10-20

Title: Create Metrics of Actigraphy and Activity Analysis
Description: Provides functions for calibrating, counting, and summarizing actigraphy and activity data into specific metrics and sleep measures. The metrics include activity counts, step counts, activity index, Monitor Independent Movement Summary Unit (MIMS), mean amplitude deviation (MAD), and provides wrappers for sleep estimation from activity counts using Tudor-Locke (2014) <doi:10.1139/apnm-2013-0173> and Sadeh (1994) <doi:10.1093/sleep/17.3.201>. Count-intensity thresholds include Montoye et al. (2020) <doi:10.1080/02640414.2020.1794244> and Sasaki et al. (2011) <doi:10.1016/j.jsams.2011.04.003>. Raw-acceleration Euclidean Norm Minus One (ENMO) thresholds include Hildebrand et al. (2014) <doi:10.1249/MSS.0000000000000289>.
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package vietnameseConverter updated to version 0.4.1 with previous version 0.4.0 dated 2021-10-20

Title: Convert Vietnamese Encodings
Description: Conversion of characters from unsupported Vietnamese character encodings to Unicode characters. These Vietnamese encodings (TCVN3, VISCII, VPS) are not natively supported in R and lead to printing of wrong characters and garbled text (mojibake). This package fixes that problem and provides readable output with the correct Unicode characters (with or without diacritics).
Author: Juergen Niedballa [aut, cre] , An The Truong Nguyen [ctb]
Maintainer: Juergen Niedballa <camtrapr@gmail.com>

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Package googledrive updated to version 2.2.0 with previous version 2.1.2 dated 2025-09-10

Title: An Interface to Google Drive
Description: Manage Google Drive files from R.
Author: Lucy D'Agostino McGowan [aut], Jennifer Bryan [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

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Permanent link

Package googlesheets4 updated to version 1.1.3 with previous version 1.1.2 dated 2025-09-03

Title: Access Google Sheets using the Sheets API V4
Description: Interact with Google Sheets through the Sheets API v4 <https://developers.google.com/sheets/api>. "API" is an acronym for "application programming interface"; the Sheets API allows users to interact with Google Sheets programmatically, instead of via a web browser. The "v4" refers to the fact that the Sheets API is currently at version 4. This package can read and write both the metadata and the cell data in a Sheet.
Author: Jennifer Bryan [cre, aut] , Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

Diff between googlesheets4 versions 1.1.2 dated 2025-09-03 and 1.1.3 dated 2026-10-29

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Package qPCRtools updated to version 1.0.2 with previous version 1.0.1 dated 2023-11-02

Title: Tools for qPCR
Description: Provides tools for quantitative PCR (qPCR) data analysis, including standard curve calculation with amplification efficiency, relative expression calculation by the 2-'dCt', 2-'ddCt', standard curve and 'RqPCR' methods, and RNA volume calculation for reverse transcription.
Author: Xiang LI [cre, aut]
Maintainer: Xiang LI <lixiang117423@gmail.com>

Diff between qPCRtools versions 1.0.1 dated 2023-11-02 and 1.0.2 dated 2026-10-29

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Package spDBL updated to version 1.1.1 with previous version 1.0.2 dated 2026-06-09

Title: Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models
Description: Provides tools for Bayesian learning of spatiotemporal dynamical mechanistic models. Includes methods for parameter estimation, simulation, and inference using hierarchical and state-space modeling approaches, following Banerjee, Chen, Frankenburg and Zhou (2025) <https://jmlr.org/papers/v26/22-0896.html>.
Author: Xiang Chen [aut, cre], Sudipto Banerjee [aut]
Maintainer: Xiang Chen <xiangchen@ucla.edu>

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Package ggblanket updated to version 30.0.0 with previous version 21.0.0 dated 2026-07-06

Title: Publication-Quality 'ggplot2' Visualisation
Description: Wrapper 'ggplot2' functions for publication-quality visualisation. Aligned with 'ggplot2' and 'tidyverse'. Covers much of what 'ggplot2' does.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package fdasrvf updated to version 2.5.1 with previous version 2.5.0 dated 2026-09-16

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

Diff between fdasrvf versions 2.5.0 dated 2026-09-16 and 2.5.1 dated 2026-10-29

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 fdasrvf-2.5.1/fdasrvf/src/RcppExports.cpp                       |    9 
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 fdasrvf-2.5.1/fdasrvf/src/fdasrsf/dp_grid.cpp                   |   26 
 fdasrvf-2.5.1/fdasrvf/src/wrapperSRSF.cpp                       |   14 
 fdasrvf-2.5.1/fdasrvf/tests/testthat/_snaps/align-fpca.md       | 4542 +++++-----
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 75 files changed, 6356 insertions(+), 6090 deletions(-)

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