subrank (version 0.9.9.3)

subrank-package: tools:::Rd_package_title("subrank")

Description

tools:::Rd_package_description("subrank")

Author

tools:::Rd_package_author("subrank")

Maintainer: tools:::Rd_package_maintainer("subrank")

Details

The DESCRIPTION file: tools:::Rd_package_DESCRIPTION("subrank") tools:::Rd_package_indices("subrank") Taking a sample, its dimension, and a sub-sample size, allows to estimate a discretized copula. This object has interesting features: convergence to copula, robustness with respect to dimension.

Examples

lon <- 31
a <- 2.85
x <- rnorm(lon)
y = a*x^2+rnorm(lon)
tablo = as.data.frame(cbind(x,y))
c=corc(tablo,c(1,2),8)
desscop(c,1,2)