rvbeta: Generate Random Vectors from a Beta Sampling Model
In jsta/rv: Simulation-Based Random Variable Objects

Description Usage Arguments Details Author(s) References Examples

rvbeta generates a random vector from the beta sampling model;

1	rvbeta(n = 1, shape1, shape2)

`n`	integer, number of random variables to generate
`shape1`	positive number or rv, 1st shape parameter
`shape2`	positive number or rv, 2nd shape parameter

rvnbeta(n, a, b) ("neutral" Beta distribution) is equivalent to rvbeta(n, 1/3+a, 1/3+b).

Jouni Kerman jouni@kerman.com

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").

   n <- 12         # sample size
   y <- (0:(n-1))  # observations
   a <- b <- 1/3   # the neutral beta prior
   rvbeta(1, shape1=a+y, shape2=b+n-y)
   rvnbeta(1, shape1=y, shape2=n-y)