mxDir: Matrix Variate Dirichlet Distributions

In matdist: Matrix Variate Distributions

Description

We have 2 types of Dirichlet distributions, namely, Type 1 and Type 2. Like other functions, dmxDir1 and dmxDir2 are to evaluate densities, while rmxDir1 and rmxDir2 generate random samples accordingly to the model provided.

Usage

dmxDir1(X, a)

dmxDir2(X, a)

rmxDir1(p, a, S)

rmxDir2(p, a)

Arguments

X	a (p-by-p-by-r) array whose density be computed.
a	weight vector of length r+1.
p	the dimension for sample matrix.
S	a (p-by-p) covariance matrix required for sampling from Wishart.

Examples

## Sample Generations
sDir1 = rmxDir1(4,a=c(6,7,8,9),S=diag(4))
sDir2 = rmxDir2(4,a=c(9,8,7,6))

matdist documentation built on Dec. 8, 2017, 1:05 a.m.