rmixnormal: Generating Random Data From A Normal Mixture Model

In GaryBAYLOR/mixR: Finite Mixture Modeling for Raw and Binned Data

Generating Random Data From A Normal Mixture Model

Description

The function rmixnormal generates random data from a normal mixture model.

Usage

rmixnormal(n, pi, mu, sd)

Arguments

n	a positive integer specifying the number of observations we want to generate from the mixture model
pi	a numeric vector for the proportion of each component
mu	a numeric vector for the mean of each component
sd	a numeric vector for the standard deviation of each component

Details

The number of random data from each component n_0 (a vector) is generated from a multinomial distribution Multinom(n, pi). Then the random data from each component is generated with the sample sized specified in n_0 and parameters of normal distributions specified in mu and sd.

Value

The function rmixnormal returns a numeric vector of random data from the specified normal mixture model.

See Also

rmixweibull, rmixgamma, rmixlnorm

Examples

x <- rmixnormal(1000, c(0.4, 0.6), c(2, 5), c(1, 0.5))
hist(x, breaks = 40)

GaryBAYLOR/mixR documentation built on Oct. 14, 2024, 11:34 p.m.