Rayleigh.MC: Generate samples from Rayleigh distribution

In 18087/StatComp18087: Example functions for 'Statistical Computing' course

Description

Generate samples from Rayleigh distribution

Usage

Rayleigh.MC(x, sigma, m = 10000, antithetic = TRUE)

Arguments

x	vector of quantiles
sigma	the parameter of Rayleigh density
m	the sample size
antithetic	using antithetic method or not

Value

a random sample of size length(x)

Examples

## Not run: 
X <- sample.chain(100,1)
print(Gelman.Rubin(X))

## End(Not run)

18087/StatComp18087 documentation built on May 5, 2019, 11:05 p.m.