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kdevine
View on CRAN: Click
here
Download and install kdevine package within the R console
Install from CRAN:
install.packages("kdevine")
Install from Github:
library("remotes")
install_github("cran/kdevine") Install by package version:
library("remotes")
install_version("kdevine", "0.4.6") Attach the package and use:
library("kdevine")
Maintained by
Thomas Nagler
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-14
Latest Update: 2025-09-03
Description:
Implements the vine copula based kernel density estimator of
Nagler and Czado (2016) . The estimator does
not suffer from the curse of dimensionality and is therefore well suited for
high-dimensional applications.
How to cite:
Thomas Nagler (2017). kdevine: Multivariate Kernel Density Estimation with Vine Copulas. R package version 0.4.6, https://cran.r-project.org/web/packages/kdevine. Accessed 25 Oct. 2026.
Previous versions and publish date:
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Other R packages that kdevine depends,
imports, suggests or enhances
Complete documentation for kdevine
Functions, R codes and Examples using
the kdevine R package
Some associated functions: contour.kdevinecop . dkde1d . dkdevine . dkdevinecop . kde1d . kdevine-package . kdevine . kdevinecop . plot.kde1d . rkdevine . wdbc .
Some associated R codes: RcppExports.R . contour.kdevinecop.R . drkdevinecop.R . extract_names.R . kde1d.R . kdevine-package.R . kdevine.R . kdevinecop.R . structure_select2.R . Full kdevine package functions and examples
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