dirichlet | R Documentation |
Functions to compute the density of or generate random deviates from the Dirichlet distribution
ddirichlet(x, alpha)
rdirichlet(n, alpha)
x |
A vector containing a single random deviate or matrix containing one random deviate per row. |
alpha |
Vector or (for |
n |
Number of random vectors to generate. |
The Dirichlet distribution is the multidimensional generalization of the beta distribution. It is the canonical Bayesian distribution for the parameter estimates of a multinomial distribution.
ddirichlet
returns a vector containing the Dirichlet density
for the corresponding rows of x
.
rdirichlet
returns a matrix with n
rows, each containing a
single Dirichlet random deviate.
ddirichlet()
: Dirichlet distribution function.
rdirichlet()
: Generate dirichlet random deviates.
Code original posted by Ben Bolker to R-News on Fri Dec 15 2000. See https://stat.ethz.ch/pipermail/r-help/2000-December/009561.html. Ben attributed the code to Ian Wilson i.wilson@maths.abdn.ac.uk. Subsequent modifications by Gregory R. Warnes greg@warnes.net.
dbeta
, rbeta
x <- rdirichlet(20, c(1, 1, 1))
ddirichlet(x, c(1, 1, 1))
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.