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kdevine: Multivariate Kernel Density Estimation with Vine Copulas

Implements the vine copula based kernel density estimator of Nagler and Czado (2016) <doi:10.1016/j.jmva.2016.07.003>. The estimator does not suffer from the curse of dimensionality and is therefore well suited for high-dimensional applications.

Version:0.4.6
Imports:graphics, stats, utils,MASS,Rcpp,qrng,KernSmooth,cctools,kdecopula (≥ 0.8.1),VineCopula,doParallel, parallel,foreach
LinkingTo:Rcpp
Suggests:testthat
Published:2025-08-18
DOI:10.32614/CRAN.package.kdevine
Author:Thomas Nagler [aut, cre]
Maintainer:Thomas Nagler <mail at tnagler.com>
BugReports:https://github.com/tnagler/kdevine/issues
License:GPL-3
URL:https://github.com/tnagler/kdevine
NeedsCompilation:yes
Materials:README,NEWS
CRAN checks:kdevine results

Documentation:

Reference manual:kdevine.html ,kdevine.pdf

Downloads:

Package source: kdevine_0.4.6.tar.gz
Windows binaries: r-devel:kdevine_0.4.6.zip, r-release:kdevine_0.4.6.zip, r-oldrel:kdevine_0.4.6.zip
macOS binaries: r-release (arm64):kdevine_0.4.6.tgz, r-oldrel (arm64):kdevine_0.4.6.tgz, r-release (x86_64):kdevine_0.4.6.tgz, r-oldrel (x86_64):kdevine_0.4.6.tgz
Old sources: kdevine archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=kdevineto link to this page.


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