R: Multivariate Kernel Density Estimation with Vine Copulas

# Multivariate Kernel Density Estimation with Vine Copulas

## Documentation for package ‘kdevine’ version 0.4.6

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

kdevine-package | Kernel Smoothing for Bivariate Copula Densities
contour.kdevinecop | Contour plots of pair copula kernel estimates
dkde1d | Working with a kde1d object
dkdevine | Evaluate the density of a kdevine object
dkdevinecop | Working with a 'kdevinecop' object
dkevinecop | Working with a 'kdevinecop' object
kde1d | Univariate kernel density estimation for bounded and unbounded support
kdevine | Kernel density estimatior based on simplified vine copulas
kdevinecop | Kernel estimation of vine copula densities
lines.kde1d | Plotting kde1d objects
pkde1d | Working with a kde1d object
pkde1d, | Working with a kde1d object
plot.kde1d | Plotting kde1d objects
qkde1d | Working with a kde1d object
qkde1d, | Working with a kde1d object
rkde1d | Working with a kde1d object
rkdevine | Simulate from a kdevine object
rkdevinecop | Working with a 'kdevinecop' object
wdbc | Wisconsin Diagnostic Breast Cancer (WDBC)