RIG: RIG for random number generation from Inverse Gaussian...

In Shenshiny/StatComp21010: Three functions with homework answers

Description

Generate random number from Inverse Gaussian Distribution for Bayesian linear regression.

Usage

RIG(n, mu, lambda)

Arguments

n	number of observations. If 'length(n) > 1', the length is taken to be the number required.
mu	mean, it can be vector, each element must be bigger than 0
lambda	shape parameter, it can be a vector each element must be bigger than 0

Value

Random number from Inverse Gaussian Distribution.

Examples

## Not run: 
n <- 100
mu <- c(1,1)
lambda <- c(2,4)
RIG(n,mu,lambda)

## End(Not run)

Shenshiny/StatComp21010 documentation built on Dec. 23, 2021, 10:22 p.m.