desscoptous: Discrete copula graph, ALL two-dimensional projections

In subrank: Computes Copula using Ranks and Subsampling

Discrete copula graph, ALL two-dimensional projections

Description

Draws a discrete joint probability, for 2 variables, using bubbles

Usage

desscoptous(copest, normalize = FALSE)

Arguments

copest	the estimated copula (the whole structure resulting from corc)
normalize	if TRUE, the smallest probability is rescaled to 0, and the largest to 1

Author(s)

Jerome Collet

Examples

lon <- 31
a <- 2.85
x <- rnorm(lon)
y = a*x^2+rnorm(lon)
z = rnorm(lon)
tablo = as.data.frame(cbind(x,y,z))
c=corc(tablo,c("x","y","z"),8)
desscoptous(c)

subrank documentation built on April 6, 2023, 1:11 a.m.