When I fit my data to a generalized linear model using the function fitglme, I get the following warning:
Warning: The ‘Reciprocal’ and ‘Power’ links require the linear predictor to be non-negative. However, the model
assumes that the linear predictor is unconstrained.
This happens although the data are non-negative, and I do not see any option to tell the fitting function that it should not worry. Question: How do I avoid this warning? (I mean "avoid" not "suppress". A warning usually indicates that something is wrong, so how do I correct it?)When I fit my data to a generalized linear model using the function fitglme, I get the following warning:
Warning: The ‘Reciprocal’ and ‘Power’ links require the linear predictor to be non-negative. However, the model
assumes that the linear predictor is unconstrained.
This happens although the data are non-negative, and I do not see any option to tell the fitting function that it should not worry. Question: How do I avoid this warning? (I mean "avoid" not "suppress". A warning usually indicates that something is wrong, so how do I correct it?) When I fit my data to a generalized linear model using the function fitglme, I get the following warning:
Warning: The ‘Reciprocal’ and ‘Power’ links require the linear predictor to be non-negative. However, the model
assumes that the linear predictor is unconstrained.
This happens although the data are non-negative, and I do not see any option to tell the fitting function that it should not worry. Question: How do I avoid this warning? (I mean "avoid" not "suppress". A warning usually indicates that something is wrong, so how do I correct it?) generalized linear model, fitglme MATLAB Answers — New Questions

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