Generate Random Variables from a Binomial Sampling Model

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Description

Generates a random vector from a binomial sampling model.

Usage

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  rvbinom(n=1, size, prob)

Arguments

n

integer, number of random variables to generate

size

integer or integer-valued rv: the number of trials (size of each sample)

prob

prior probability of success of each trial (may be constant or an rv object)

Details

rvbinom generates a random vector with given length, the distribution for size and the distribution for the probability of success.

Value

An rv object.

Author(s)

Jouni Kerman jouni@kerman.com

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

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  s <- 1+rvpois(1,lambda=3)        # A prior distribution on the 'size' parameter.
  rvbinom(1, size=s, prob=0.5)     # The 'size' is random.
  p <- rvbinom(1, 10, prob=0.5)/10 # Prior probability of success.
  rvbinom(1, size=10, prob=p)      # Now the probability is random.
  rvbinom(1, size=s, prob=p)       # Both the size and the probability are random.

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