rmix.norm: generate a random sample from a mixture of normals

In MixtureInf: Inference for Finite Mixture Models

Description

Generate a random sample from a mixture of normals.

Usage

rmix.norm(n, alpha, mu, sigma = rep(1,length(alpha)))

Arguments

n	sample size.
alpha	vector of mixture proportions of length m, the order of the mixture.
mu	vector of means of component distributions.
sigma	vector of standard deviations of component distributions, default value: sigma = rep(1,length(alpha)).

Value

Return a samples of size n from an m-component normal mixture.

Author(s)

Shaoting Li, Jiahua Chen and Pengfei Li

See Also

emtest.norm, emtest.norm0, plotmix.norm, plotmix.norm0, pmle.norm, pmle.norm0

Examples

#generate a random sample from a 2 component normal mixture,
#plot the histogram of the data.
x <- rmix.norm(200,c(0.3,0.7),c(-1,2),c(1,2))
hist(x)

Example output

MixtureInf documentation built on May 2, 2019, 3:32 p.m.