Wed, 10 Dec 2025

Package qrmtools updated to version 0.0-19 with previous version 0.0-18 dated 2025-09-10

Title: Tools for Quantitative Risk Management
Description: Functions and data sets for reproducing selected results from the book "Quantitative Risk Management: Concepts, Techniques and Tools". Furthermore, new developments and auxiliary functions for Quantitative Risk Management practice.
Author: Marius Hofert [aut, cre], Kurt Hornik [aut], Alexander J. McNeil [aut]
Maintainer: Marius Hofert <mhofert@hku.hk>

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Package guideR updated to version 0.8.0 with previous version 0.7.0 dated 2025-11-26

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

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Package ForIT updated to version 2.5.2 with previous version 2.5.1 dated 2025-09-22

Title: Functions to Estimate Tree Volume and Phytomass in the Italian Forest Inventory 2005
Description: Tabacchi et al. (2011) published a very detailed study producing a uniform system of functions to estimate tree volume and phytomass components (stem, branches, stool). The estimates of the 2005 Italian forest inventory (<https://www.inventarioforestale.org/it/>) are based on these functions. The study documents the domain of applicability of each function and the equations to quantify estimates accuracies for individual estimates as well as for aggregated estimates. This package makes the functions available in the R environment. Version 2 exposes two distinct functions for individual and summary estimates. To facilitate access to the functions, tree species identification is now based on EPPO species codes (<https://data.eppo.int/>).
Author: Nicola Puletti [aut, cre] , Mirko Grotti [aut], Roberto Scotti [aut]
Maintainer: Nicola Puletti <nicola.puletti@gmail.com>

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Package bundle updated to version 0.1.3 with previous version 0.1.2 dated 2024-11-12

Title: Serialize Model Objects with a Consistent Interface
Description: Typically, models in 'R' exist in memory and can be saved via regular 'R' serialization. However, some models store information in locations that cannot be saved using 'R' serialization alone. The goal of 'bundle' is to provide a common interface to capture this information, situate it within a portable object, and restore it for use in new settings.
Author: Julia Silge [aut, cre] , Simon Couch [aut], Qiushi Yan [aut], Max Kuhn [aut], Posit Software, PBC [cph, fnd]
Maintainer: Julia Silge <julia.silge@posit.co>

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Package vinereg updated to version 0.12.1 with previous version 0.11.0 dated 2025-01-11

Title: D-Vine Quantile Regression
Description: Implements D-vine quantile regression models with parametric or nonparametric pair-copulas. See Kraus and Czado (2017) <doi:10.1016/j.csda.2016.12.009> and Schallhorn et al. (2017) <doi:10.48550/arXiv.1705.08310>.
Author: Thomas Nagler [aut, cre], Dani Kraus [ctb]
Maintainer: Thomas Nagler <mail@tnagler.com>

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Package OmopViewer updated to version 0.6.0 with previous version 0.5.0 dated 2025-11-16

Title: Visualise OMOP Results using 'shiny' Applications
Description: Visualise results obtained from analysing data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model using 'shiny' applications.
Author: Marti Catala [aut, cre] , Yuchen Guo [aut] , Edward Burn [ctb] , Nuria Mercade-Besora [ctb] , Elin Rowlands [ctb] , Cecilia Campanile [ctb]
Maintainer: Marti Catala <marti.catalasabate@ndorms.ox.ac.uk>

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Package LBBNN updated to version 0.1.2 with previous version 0.1.1 dated 2025-12-01

Title: Latent Binary Bayesian Neural Networks Using 'torch'
Description: Latent binary Bayesian neural networks (LBBNNs) are implemented using 'torch', an R interface to the LibTorch backend. Supports mean-field variational inference as well as flexible variational posteriors using normalizing flows. The standard LBBNN implementation follows Hubin and Storvik (2024) <doi:10.3390/math12060788>, using the local reparametrization trick as in Skaaret-Lund et al. (2024) <https://openreview.net/pdf?id=d6kqUKzG3V>. Input-skip connections are also supported, as described in Høyheim et al. (2025) <doi:10.48550/arXiv.2503.10496>.
Author: Lars Skaaret-Lund [aut, cre], Aliaksandr Hubin [aut], Eirik Hoeyheim [aut]
Maintainer: Lars Skaaret-Lund <lars.skaaret-lund@nmbu.no>

Diff between LBBNN versions 0.1.1 dated 2025-12-01 and 0.1.2 dated 2025-12-10

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Package gam updated to version 1.22-7 with previous version 1.22-6 dated 2025-08-22

Title: Generalized Additive Models
Description: Functions for fitting and working with generalized additive models, as described in chapter 7 of "Statistical Models in S" (Chambers and Hastie (eds), 1991), and "Generalized Additive Models" (Hastie and Tibshirani, 1990).
Author: Trevor Hastie [aut, cre], Balasubramanian Narasimhan [ctb]
Maintainer: Trevor Hastie <hastie@stanford.edu>

Diff between gam versions 1.22-6 dated 2025-08-22 and 1.22-7 dated 2025-12-10

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Package exametrika updated to version 1.8.0 with previous version 1.7.0 dated 2025-11-22

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

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Package dataone readmission to version 2.3.0 with previous version 2.2.2 dated 2022-06-10

Title: R Interface to the 'DataONE' REST API
Description: Provides read and write access to data and metadata from the 'DataONE' network <https://www.dataone.org> of data repositories. Each 'DataONE' repository implements a consistent repository application programming interface. Users call methods in R to access these remote repository functions, such as methods to query the metadata catalog, get access to metadata for particular data packages, and read the data objects from the data repository. Users can also insert and update data objects on repositories that support these methods.
Author: Matthew B. Jones [aut, cre] , Peter Slaughter [aut] , Rob Nahf [aut], Carl Boettiger [aut] , Chris Jones [aut] , Bryce Mecum [aut] , Jeanette Clark [aut] , Jordan Read [ctb] , Lauren Walker [aut] , Edmund Hart [ctb] , Scott Chamberlain [ctb] , Regent [...truncated...]
Maintainer: Matthew B. Jones <jones@nceas.ucsb.edu>

This is a re-admission after prior archival of version 2.2.2 dated 2022-06-10

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Package grr (with last version 0.9.5) was removed from CRAN

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

2016-08-26 0.9.5
2016-02-29 0.9.2
2016-01-22 0.9.1
2016-01-19 0.9

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Package specleanr (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:

2025-11-25 1.0.0

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Package SpatialDDLS (with last version 1.0.3) was removed from CRAN

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

2024-10-31 1.0.3
2024-04-26 1.0.2
2024-03-15 1.0.1
2023-12-06 1.0.0
2023-05-07 0.1.0

Permanent link
Package WeightedCluster updated to version 2.0 with previous version 1.8-1 dated 2024-12-10

Title: Clustering of Weighted Data
Description: Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions, sequence analysis typology validation using parametric bootstraps and plotting (fuzzy) clusters of state sequences. It further provides a fuzzy and crisp CLARA algorithm to cluster large database with sequence analysis, and a methodological framework for Robustness Assessment of Regressions using Cluster Analysis Typologies (RARCAT).
Author: Matthias Studer [aut, cre], Leonard Roth [ctb]
Maintainer: Matthias Studer <matthias.studer@unige.ch>

Diff between WeightedCluster versions 1.8-1 dated 2024-12-10 and 2.0 dated 2025-12-10

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Package W3CMarkupValidator updated to version 0.2-2 with previous version 0.2-1 dated 2025-08-23

Title: R Interface to W3C Markup Validation Services
Description: R interface to a W3C Markup Validation service. See <https://validator.w3.org/> for more information.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

Diff between W3CMarkupValidator versions 0.2-1 dated 2025-08-23 and 0.2-2 dated 2025-12-10

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Permanent link

Package valr updated to version 0.9.0 with previous version 0.8.4 dated 2025-06-22

Title: Genome Interval Arithmetic
Description: Read and manipulate genome intervals and signals. Provides functionality similar to command-line tool suites within R, enabling interactive analysis and visualization of genome-scale data. Riemondy et al. (2017) <doi:10.12688/f1000research.11997.1>.
Author: Jay Hesselberth [aut, cre] , Kent Riemondy [aut] , RNA Bioscience Initiative [fnd, cph]
Maintainer: Jay Hesselberth <jay.hesselberth@cuanschutz.edu>

Diff between valr versions 0.8.4 dated 2025-06-22 and 0.9.0 dated 2025-12-10

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More information about valr at CRAN
Permanent link

Package tidygate updated to version 1.0.19 with previous version 1.0.14 dated 2024-09-17

Title: Interactively Gate Points
Description: Interactively gate points on a scatter plot. Interactively drawn gates are recorded and can be applied programmatically to reproduce results exactly. Programmatic gating is based on the package gatepoints by Wajid Jawaid.
Author: Stefano Mangiola [aut], Wajid Jawaid [ctb], William Hutchison [cre, aut]
Maintainer: William Hutchison <hutchison.w@wehi.edu.au>

Diff between tidygate versions 1.0.14 dated 2024-09-17 and 1.0.19 dated 2025-12-10

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Permanent link

Package ready4 updated to version 0.1.19 with previous version 0.1.18 dated 2024-09-30

Title: Develop and Use Modular Health Economic Models
Description: A template model module, tools to help find model modules derived from this template and a programming syntax to use these modules in health economic analyses. These elements are the foundation for a prototype software framework for developing living and transferable models and using those models in reproducible health economic analyses. The software framework is extended by other R libraries. For detailed documentation about the framework and how to use it visit <https://www.ready4-dev.com/>. For a background to the methodological issues that the framework is attempting to help solve, see Hamilton et al. (2024) <doi:10.1007/s40273-024-01378-8>.
Author: Matthew Hamilton [aut, cre, cph] , Orygen [cph, fnd], Australian Government Research Training Program [fnd], VicHealth [fnd], Victoria University [fnd]
Maintainer: Matthew Hamilton <matthew.hamilton1@monash.edu>

Diff between ready4 versions 0.1.18 dated 2024-09-30 and 0.1.19 dated 2025-12-10

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More information about ready4 at CRAN
Permanent link

Package mice updated to version 3.19.0 with previous version 3.18.0 dated 2025-05-27

Title: Multivariate Imputation by Chained Equations
Description: Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.
Author: Stef van Buuren [aut, cre], Karin Groothuis-Oudshoorn [aut], Gerko Vink [ctb], Rianne Schouten [ctb], Alexander Robitzsch [ctb], Patrick Rockenschaub [ctb], Lisa Doove [ctb], Shahab Jolani [ctb], Margarita Moreno-Betancur [ctb], Ian White [ctb], Phil [...truncated...]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>

Diff between mice versions 3.18.0 dated 2025-05-27 and 3.19.0 dated 2025-12-10

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Permanent link

Package memo updated to version 1.1.2 with previous version 1.1.1 dated 2023-12-11

Title: Hashmaps and Memoization (in-Memory Caching of Repeated Computations)
Description: A simple in-memory, LRU cache that can be wrapped around any function to memoize it. The cache is keyed on a hash of the input data (using 'digest') or on pointer equivalence. Also includes a generic hashmap object that can key on any object type.
Author: Peter Meilstrup [aut, cre]
Maintainer: Peter Meilstrup <peter.meilstrup@gmail.com>

Diff between memo versions 1.1.1 dated 2023-12-11 and 1.1.2 dated 2025-12-10

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Permanent link

Package giscoR updated to version 1.0.0 with previous version 0.6.1 dated 2025-01-27

Title: Download Map Data from GISCO API - Eurostat
Description: Tools to download data from the GISCO (Geographic Information System of the Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>. Global and European map data available. This package is in no way officially related to or endorsed by Eurostat.
Author: Diego Hernangomez [aut, cre, cph] , Eurostat [cph] , EuroGeographics [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package yaml updated to version 2.3.12 with previous version 2.3.11 dated 2025-11-28

Title: Methods to Convert R Data to YAML and Back
Description: Implements the 'libyaml' 'YAML' 1.1 parser and emitter (<https://pyyaml.org/wiki/LibYAML>) for R.
Author: Hadley Wickham [cre] , Shawn Garbett [ctb] , Jeremy Stephens [aut, ctb], Kirill Simonov [aut], Yihui Xie [ctb] , Zhuoer Dong [ctb], Jeffrey Horner [ctb], reikoch [ctb], Will Beasley [ctb] , Brendan O'Connor [ctb], Michael Quinn [ctb], Charlie Gao [ct [...truncated...]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package vip updated to version 0.4.3 with previous version 0.4.2 dated 2025-12-02

Title: Variable Importance Plots
Description: A general framework for constructing variable importance plots from various types of machine learning models in R. Aside from some standard model- specific variable importance measures, this package also provides model- agnostic approaches that can be applied to any supervised learning algorithm. These include 1) an efficient permutation-based variable importance measure, 2) variable importance based on Shapley values (Strumbelj and Kononenko, 2014) <doi:10.1007/s10115-013-0679-x>, and 3) the variance-based approach described in Greenwell et al. (2018) <doi:10.48550/arXiv.1805.04755>. A variance-based method for quantifying the relative strength of interaction effects is also included (see the previous reference for details).
Author: Brandon M. Greenwell [aut, cre] , Brad Boehmke [aut]
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>

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Package targeted updated to version 0.7 with previous version 0.6 dated 2025-10-30

Title: Targeted Inference
Description: Various methods for targeted and semiparametric inference including augmented inverse probability weighted (AIPW) estimators for missing data and causal inference (Bang and Robins (2005) <doi:10.1111/j.1541-0420.2005.00377.x>), variable importance and conditional average treatment effects (CATE) (van der Laan (2006) <doi:10.2202/1557-4679.1008>), estimators for risk differences and relative risks (Richardson et al. (2017) <doi:10.1080/01621459.2016.1192546>), assumption lean inference for generalized linear model parameters (Vansteelandt et al. (2022) <doi:10.1111/rssb.12504>).
Author: Klaus K. Holst [aut, cre], Benedikt Sommer [aut], Andreas Nordland [aut], Christian B. Pipper [ctb]
Maintainer: Klaus K. Holst <klaus@holst.it>

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Package redland updated to version 1.0.17-19 with previous version 1.0.17-18 dated 2024-02-23

Title: RDF Library Bindings in R
Description: Provides methods to parse, query and serialize information stored in the Resource Description Framework (RDF). RDF is described at <https://www.w3.org/TR/rdf-primer/>. This package supports RDF by implementing an R interface to the Redland RDF C library, described at <https://librdf.org/docs/api/index.html>. In brief, RDF provides a structured graph consisting of Statements composed of Subject, Predicate, and Object Nodes.
Author: Matthew B. Jones [aut, cre] , Peter Slaughter [aut] , Jeroen Ooms [aut] , Carl Boettiger [aut] , Scott Chamberlain [ctb] , David Beckett [cph], University of Bristol [cph], Regents of the University of California [cph]
Maintainer: Matthew B. Jones <jones@nceas.ucsb.edu>

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Package LINselect updated to version 1.1.6 with previous version 1.1.5 dated 2023-12-07

Title: Selection of Linear Estimators
Description: Estimate the mean of a Gaussian vector, by choosing among a large collection of estimators, following the method developed by Y. Baraud, C. Giraud and S. Huet (2014) <doi:10.1214/13-AIHP539>. In particular it solves the problem of variable selection by choosing the best predictor among predictors emanating from different methods as lasso, elastic-net, adaptive lasso, pls, randomForest. Moreover, it can be applied for choosing the tuning parameter in a Gauss-lasso procedure.
Author: Yannick Baraud [aut], Christophe Giraud [aut], Sylvie Huet [aut], Benjamin Auder [cre]
Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>

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Package duckdb updated to version 1.4.3 with previous version 1.4.2 dated 2025-11-17

Title: DBI Package for the DuckDB Database Management System
Description: The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.
Author: Hannes Muehleisen [aut] , Mark Raasveldt [aut] , Kirill Mueller [cre] , Stichting DuckDB Foundation [cph], Apache Software Foundation [cph], PostgreSQL Global Development Group [cph], The Regents of the University of California [cph], Cameron Desrocher [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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