Generate Random Vectors from a Uniform Sampling Model

Source: R/rvunif.R

Generates random variables from a Uniform sampling model.

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)

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").

Author

Jouni Kerman jouni@kerman.com

Examples

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