Nothing
################################
#### Random values generation from a multivariate skew
#### normal distribution on the simplex
#### Tsagris Michail 02/2016
#### mtsagris@yahoo.gr
################################
rcompsn <- function(n, xi, Omega, alpha, dp = NULL, type = "alr") {
## n is the sample size
## m is the mean vector in R^d
## s is the covariance matrix in R^d
## type is either alr or ilr
if ( is.null(dp) ) {
x <- sn::rmsn(n = n, xi = xi, Omega = Omega, alpha = alpha)
} else x <- sn::rmsn(n = n, dp = dp)
if (type == "alr") {
y <- cbind( 1, exp(x) )
} else {
D <- dim(x)[2]
y <- x %*% helm(D + 1)
y < exp(y)
}
y / Rfast::rowsums(y)
}
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