oeli (version 0.7.1)

ddirichlet_cpp: Dirichlet distribution

Description

The function ddirichlet() computes the density of a Dirichlet distribution.

The function rdirichlet() samples from a Dirichlet distribution.

The functions with suffix _cpp perform no input checks, hence are faster.

Usage

ddirichlet_cpp(x, concentration, log = FALSE)
rdirichlet_cpp(concentration)
ddirichlet(x, concentration, log = FALSE)
rdirichlet(n = 1, concentration)

Value

For ddirichlet(): The density value.

For rdirichlet(): If n = 1 a vector of length p, else a matrix of dimension n times p with samples as rows.

Arguments

x

[numeric()]
A probability vector.

concentration

[numeric()]
A concentration vector of the same length as x.

log

[logical(1)]
Return the logarithm of the density value?

n

[integer(1)]
The number of samples.

See Also

Other simulation helpers: correlated_regressors(), dmvnorm_cpp(), dtnorm_cpp(), dwishart_cpp(), simulate_markov_chain()

Examples

x <- c(0.5, 0.3, 0.2)
concentration <- 1:3

# compute density
ddirichlet(x = x, concentration = concentration)
ddirichlet(x = x, concentration = concentration, log = TRUE)

# sample
rdirichlet(concentration = 1:3)
rdirichlet(n = 4, concentration = 1:2)