fnm: Distribution of Two Finite Gaussian Mixtures

In bda: Binned Data Analysis

Distribution of Two Finite Gaussian Mixtures

Description

To compute the values of the density and distribution functions of two finite Gaussian mixture models.

Usage

  fnm(p1,p2,mu1,mu2,sig1,sig2,from,to)

Arguments

p1, p2	mixing coefficients.
mu1, mu2	vectors of the mean values of the Gaussian components.
sig1, sig2	vectors of the SD values of the Gaussian components.
from, to	to specify the range of data.

Value

Return the densities ('y') and probabilities ('Fx') over a grid of 'x'.

Examples

data(Pain)

group <- pain$treat
x <- pain$recall0
y <- pain$recall1
#out <- tkde(x,y,group)
out <- tkde(x,y,group,type='percent')
plot(out$risk,type='l')
abline(h=1,col='gray')

plot(out$responder,type='l',ylim=c(-.28,.1))
lines(out$resp$ll~out$resp$x,lty=2,col=1+(out$resp$p<0.05))
lines(out$resp$ul~out$resp$x,lty=2,col=1+(out$resp$p<0.05))
abline(h=0,col='gray')

plot(out$g2,type='l')
lines(out$g1,col=2)

bda documentation built on Sept. 11, 2024, 9:01 p.m.