# mnorm

0th

Percentile

##### The mixed normal distribution

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

Keywords
distribution
##### 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.

• pmnorm
• dmnorm
• qmnorm
• rmnorm
##### Examples
# NOT RUN {
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)

# }

Documentation reproduced from package bda, version 14.1.4, License: Unlimited

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