rvunif: Generate Random Vectors from a Uniform Sampling Model

In jsta/rv: Simulation-Based Random Variable Objects

Description

Generates random variables from a Uniform sampling model.

Usage

rvunif(n = 1, min = 0, max = 1)

Arguments

n	integer: number of scalars to generate
min	lower limit of the distribution, (may be random)
max	upper limit of the distribution, (may be random)

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

#' 
  y <- rvunif(1, min=rvunif(1)-1, rvunif(1)+1) # What marginal distribution does y have now?

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