ks (version 1.5.5)

dnorm.mixt, rnorm.mixt: Univariate normal mixture distribution

Description

Random generation and density values from univariate normal mixture distribution.

Usage

dnorm.mixt(x, mus=0, sigmas=1, props=1)
rnorm.mixt(n=100, mus=0, sigmas=1, props=1)

Arguments

n

number of random variates

x

vector of quantiles

mus

vector of means

sigmas

vector of standard deviations

props

vector of mixing proportions

Value

• Univariate normal mixture random vectors and density values.

Examples

x <- rnorm.mixt(1000, mus=c(-1,1), sigmas=c(0.5, 0.5), props=c(1/2, 1/2))
dens <- dnorm.mixt(x, mus=c(-1,1), sigmas=c(0.5, 0.5), props=c(1/2, 1/2))