mixnorm: The mixed normal distribution

In bda: Binned Data Analysis

The mixed normal distribution

Description

Density, distribution function, quantile function and random generation for the normal mixture distribution with means equal to 'mu' and standard deviations equal to 's'.

Usage

	dmnorm(x,p,mean,sd)
	pmnorm(q,p,mean,sd)
	qmnorm(prob,p,mean,sd)
	rmnorm(n,p,mean,sd)

Arguments

x,q	vector of quantiles in dmixnorm and pmixnorm. In qmixnorm, 'x' is a vector of probabilities.
p	proportions of the mixture components.
prob	A vector of probabilities.
n	number of observations. If 'length(n) > 1', the length is taken to be the number required.
mean	vector of means
sd	vector of standard deviations

Value

Return the density, probability, quantile and random value, respectively.

Examples

p <- c(.4,.6)
mu <- c(1,4)
s <- c(2,3)
dmnorm(c(0,1,2,20),p,mu,s)
pmnorm(c(0,1,2,20),p,mu,s)
qmnorm(c(0,1,.2,.20),p,mu,s)
rmnorm(3,p,mu,s)

bda documentation built on Oct. 13, 2023, 5:10 p.m.