| rDir {revdbayes} | R Documentation |
Simulation from a Dirichlet distribution
Description
Simulates from a Dirichlet distribution with concentration parameter
vector \alpha = (\alpha_1, ..., \alpha_K).
Usage
rDir(n = 1, alpha = c(1, 1))
Arguments
n |
A numeric scalar. The size of sample required. |
alpha |
A numeric vector. Dirichlet concentration parameter. |
Details
The simulation is based on the property that if
Y_1, \ldots, Y_K are independent, Y_i has a
gamma(\alpha_i, 1) distribution and
S = Y_1 + \cdots + Y_k
then (Y_1, \ldots, Y_K) / S has a
Dirichlet(\alpha_1, ..., \alpha_K) distribution.
See https://en.wikipedia.org/wiki/Dirichlet_distribution#Gamma_distribution
Value
An n by length(alpha) numeric matrix.
References
Kotz, S., Balakrishnan, N. and Johnson, N. L. (2000) Continuous Multivariate Distributions, vol. 1, Models and Applications, 2nd edn, ch. 49. New York: Wiley. doi:10.1002/0471722065
See Also
rprior_prob for prior simulation of
GEV parameters - prior on probability scale.
Examples
rDir(n = 10, alpha = 1:4)