rvpois: Generate Random Vectors from a Poisson Sampling Model

In jsta/rv: Simulation-Based Random Variable Objects

Description

Generates random variables from a Poisson sampling model.

Usage

rvpois(n = 1, lambda)

Arguments

n	integer: number of variables to generate
lambda	a vector of (positive) mean parameters; (may be random)

Note

If any of the arguments are random, the resulting simulations may have non-Poisson marginal distributions.

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

  x <- rvpois(lambda=10)  # A Poisson rv with mean 10
  lbd <- rvchisq(1,1)     # Some positive rv
  y <- rvpois(lambda=lbd) # Not a Poisson rv, although each simulation is a draw from Poisson.

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