Error in GeneralizedLinearModel.fit
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I'm trying to fit a GLM and I get a weird error I cannot find the reason for. The error message is below. It only happens if I specify distribution 'gamma' (which wouldbe the appropriate one) or 'inverse gaussian', but it does not happen for distributions 'normal' or 'poisson' (although they wouln't be the ones to use). There are no NaNs either in the predictors or the response. The data tables are too large to include here.
Any clues?
Thanks
Error using sumskipnan (line 164)
weighted sumskipnan requires sumskipnan_mex
Error in var (line 84)
[y,n,ssq] = sumskipnan(x,DIM,W);
Error in GeneralizedLinearModel/logLikelihoodNull (line 954)
b0 = var(model.y_r,model.w_r) ./ mu0;
Error in classreg.regr.ParametricRegression/postFit (line 367)
model.LogLikelihoodNull = logLikelihoodNull(model);
Error in classreg.regr.TermsRegression/postFit (line 370)
model = postFit@classreg.regr.ParametricRegression(model);
Error in GeneralizedLinearModel/postFit (line 891)
model = postFit@classreg.regr.TermsRegression(model);
Error in classreg.regr.FitObject/doFit (line 220)
model = postFit(model);
Error in GeneralizedLinearModel.fit (line 1302)
model = doFit(model);
1 Comment
Walter Roberson
on 7 Oct 2015
The source for it appears to be officially http://pub.ist.ac.at/~schloegl/matlab/NaN/ according to http://openmp.org/wp/whos-using-openmp/
I have no information about why it might be missing.
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