Cumulative distribution function for Gaussian mixture distribution
y = cdf(obj,X)
y = cdf(obj,X) returns a vector y of length n containing the values of the cumulative distribution function (cdf) for the gmdistribution object obj, evaluated at the n-by-d data matrix X, where n is the number of observations and d is the dimension of the data. obj is an object created by gmdistribution or fit. y(I) is the cdf of observation I.
Create a gmdistribution object defining a two-component mixture of bivariate Gaussian distributions:
MU = [1 2;-3 -5]; SIGMA = cat(3,[2 0;0 .5],[1 0;0 1]); p = ones(1,2)/2; obj = gmdistribution(MU,SIGMA,p); ezsurf(@(x,y)cdf(obj,[x y]),[-10 10],[-10 10])