rmvn: Generates random observation for the normal distribution

In fitmixst4: Fitting mixture of skew t distribution

Description

Generates random observation for the normal distribution

Usage

rmvn(n, p, mean = rep(0, p), cov = diag(p))

Arguments

n	number of random observations.
p	dimension of the normal distribution.
mean	a mean vector with length p.
cov	a covariance matrix of dimension pxp.

Value

gernerates random observations for the normal distribution.

Examples

mu=1; Sigma=1;
y <- rmvn(n=100,p=1,mean=mu,cov=Sigma)

fitmixst4 documentation built on Sept. 29, 2019, 3 p.m.