chi2gof function does not work with Gaussian mixture model

When I try to test the null hypothesis that the data in the vector x are obtained from the Gaussian mixture model using the chi-square matching criterion, I get an error.

    x = [trnd(20,1,50) trnd(4,1,100)+3];
    GMModel = fitgmdist(x',2);
    h = chi2gof(x, 'CDF', GMModel)    

Error using chi2gof (line 216)

The 'cdf' value must be a ProbDist object, a function handle, or a cell array containing a function handle.

Answer 1

[Aditya Patil]

You need to pass a function handle of the cdf function, for example,

h = chi2gof(x,'cdf',{@normcdf,mean(x),std(x)})

For your example, it would be

x = [trnd(20,1,50) trnd(4,1,100)+3]';
GMModel = fitgmdist(x,2);
h = chi2gof(x, 'CDF', @(y)(GMModel.cdf(y')))