rand: Return matrices of pseudorandom values.

In varbvs: Large-Scale Bayesian Variable Selection Using Variational Methods

Return matrices of pseudorandom values.

Description

Generate matrices of pseudorandom values.

Usage

  rand(m,n)
  randn(m,n)

Arguments

m	Number of matrix rows.
n	Number of matrix columns.

Details

Function rand returns a matrix containing pseudorandom values drawn from the standard uniform distribution (using runif). Function randn returns a matrix containing pseudorandom values drawn from the standard normal distribution (using rnorm).

Value

An m x n numeric matrix.

Author(s)

Peter Carbonetto [e-mail]

References

P. Carbonetto and M. Stephens (2012). Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies. Bayesian Analysis 7, 73–108.

Examples

  x <- rand(10,5)
  y <- randn(10,5)

varbvs documentation built on June 7, 2023, 5:43 p.m.