CDFMixtures: cumulative distribution of mixture model

In AdaptGauss: Gaussian Mixture Models (GMM)

Description

returns the cdf (cumulative distribution function) of a mixture model of gaussian or log gaussians

Usage

CDFMixtures(Kernels,Means,SDs,Weights,IsLogDistribution)

Arguments

Kernels	at these locations N(Means,Sdevs)*Weights is used for cdf calcuation, NOTE: Kernels are usually (but not necessarily) sorted and unique
Means	vector(1:L), Means of Gaussians, L == Number of Gaussians
SDs	estimated Gaussian Kernels = standard deviations
Weights	optional, relative number of points in Gaussians (prior probabilities): sum(Weights) ==1, default weight is 1/L
IsLogDistribution	Optional, if IsLogDistribution(i)==1, then mixture is lognormal default == 0*(1:L)

Value

List with

CDFGaussMixture	(1:N,1), cdf of Sum of SingleGaussians at Kernels
CDFSingleGaussian	(1:N,1:L) ,cdf of mixtures at Kernels

Author(s)

Rabea Griese

See Also

Chi2testMixtures

AdaptGauss documentation built on March 26, 2020, 7:57 p.m.