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kdevine  

Multivariate Kernel Density Estimation with Vine Copulas
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", "0.4.4")



Attach the package and use:
library("kdevine")
Maintained by
Thomas Nagler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-14
Latest Update: 2022-10-18
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 0.4.4, https://cran.r-project.org/web/packages/kdevine
Previous versions and publish date:
0.3.0 (2017-01-14 12:46), 0.4.0 (2017-04-27 23:43), 0.4.1 (2017-05-19 23:26), 0.4.2 (2018-12-17 17:00), 0.4.3 (2021-05-12 02:50)
Other packages that cited kdevine R package
View kdevine citation profile
Other R packages that kdevine depends, imports, suggests or enhances
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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