Nothing
################################
#### Dirichlet distribution parameters
#### Tsagris Michail 3/2012
#### mtsagris@yahoo.gr
################################
dgendiri <- function(x, a, b, logged = TRUE) {
## x is the compositional data
## a is a vector with the parameters
if ( is.null(dim(x)[1]) ) {
f <- lgamma( sum(a) ) - sum( lgamma(a) ) + sum( a * log(b) ) + sum( (a - 1) * log(x) ) -
sum(a) * log( sum(b * x) )
} else f <- lgamma( sum(a) ) - sum( lgamma(a) ) + sum( a * log(b) ) +
as.vector( log(x) %*% (a - 1) ) - sum(a) * as.vector( log(x %*% b) )
if ( logged ) {
f <- f
} else f <- exp(f)
f
}
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