Dirichlet: The Dirichlet Distribution
In ChongWu-Biostat/MiSPU: Microbiome Based Sum of Powered Score (MiSPU) Tests

Description Usage Arguments Details Value Author(s) Examples

Density function and random number generation for the Dirichlet distribution

1	rdirichlet(n, alpha)

`n`	number of random observations to draw
`alpha`	the Dirichlet distribution's parameters. Can be a vector (one set of parameters for all observations) or a matrix (a different set of parameters for each observation), see “Details”

The Dirichlet distribution is a multidimensional generalization of the Beta distribution where each dimension is governed by an alpha-parameter. Formally this is

D(α)=[Γ(∑α)/∏Γ(α)]∏ y^(α-1)

Usually, alpha is a vector thus the same parameters will be used for all observations. If alpha is a matrix, a complete set of alpha-parameters must be supplied for each observation.

returns a matrix with random numbers according to the supplied alpha vector or matrix.

Chong Wu