penRvine-package: Flexible R-vines Estimation Using Bivariate Penalized Splines

In penRvine: Flexible R-Vines Estimation Using Bivariate Penalized Splines

Description

The package 'penRvine' offers routines for estimating densities and distribution of R-vines. For details see the description of the function vine().

Details

Package:	penRvine
Type:	Package
Version:	0.2
Date:	2017-05-19
License: GPL (>= 2) LazyLoad:	yes

The packages contributes the function 'vine()' for estimating densities and distributions of vines using penalized splines techniques.

Author(s)

Christian Schellhase <[e-mail]>

Examples

  #Simulating from a three-dimensional frank copula with
  #kendell's tau equal to 0.25, sample size N.set=100.
  #Please enlarge N.set for further studies.
  #require(copula)
  #N.set<-100
  #cop <- archmCopula(family = "frank", dim = 3, param =2.39)
  #parMarg<-list(list(min=0,max=1),list(min=0,max=1),list(min=0,max=1))
  #distr.cop <- mvdc(cop, margins=rep("unif",3), paramMargins = parMarg,marginsIdentical=TRUE)
  #c.X <- rMvdc(mvdc=distr.cop, n=N.set)
  #Y <- punif(c.X)
  #vine.copula<-vine(Y,K=8,base="B-spline",q=2,m=2,pen=1,cores=1,lambda=12500)

penRvine documentation built on May 30, 2017, 2:20 a.m.