rvdirichlet: Generate Random Variables from a Dirichlet Sampling Model

In jsta/rv: Simulation-Based Random Variable Objects

Description

Generates random variables from a Dirichlet sampling model.

Usage

rvdirichlet(n = 1, alpha)

Arguments

n	integer: number of vectors to generate
alpha	the parameter vector; may be random

Details

The Dirichlet distribution is a generalization of the Beta distribution. (If alpha is of length two, rvdirichlet draws from the Beta model.)

Value

A random vector (rv object) of length n.

Author(s)

Jouni Kerman [e-mail]

References

Kerman, J. and Gelman, A. (2007). Manipulating and Summarizing Posterior Simulations Using Random Variable Objects. Statistics and Computing 17:3, 235-244.

See also vignette("rv").

Examples

## Not run: 

  a <- rvdirichlet(1, alpha=c(6, 3, 1)) # 
  sum(a) # one with probability 1   
  
## End(Not run)

jsta/rv documentation built on Feb. 12, 2022, 5:13 p.m.