rmvst {miscF} | R Documentation |
Generate Random Samples from a Multivariate Skew t Distribution
Description
Generate random samples from a multivariate skew t distribution.
Usage
rmvst(n, D, Mu, Sigma, nu)
Arguments
n |
number of samples. |
D |
parameter |
Mu |
parameter |
Sigma |
parameter |
nu |
parameter |
Details
This function generates random samples using the methods in Sahu et al. 2003.
Value
Random samples from the multivariate skew t distribution.
References
Sahu, Sujit K., Dipak K. Dey, and Marcia D. Branco. (2003) A new class of multivariate skew distributions with applications to Bayesian regression models. Canadian Journal of Statistics vol. 31, no. 2 129-150.
Examples
Mu <- rep(0, 2)
Sigma <- diag(c(1,1))
D <- diag(c(1,1))
nu <- 5
Y <- rmvst(n=100, D, Mu, Sigma, nu)
[Package miscF version 0.1-5 Index]