mnrfit : how to include interaction terms ?
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Hello,
I would like to compute a logistic regression on accuracy data (accuracy is 0 or 1).
There are 3 predictors (X1, X2, X3) of accuracy, but i would like to include the interaction terms between those predictors (X1*X2,..., X1*X2*X3) in the model.
How can I achieve this ? I can't figure out how to set up B or parameter values to achieve this. Any ideas ? Should I switch to another function (for example, compute log-likelihood ratios separately then run regstats/regress or something else on them) ? Thanks a lot.
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the cyclist
2013-8-21
I think you may need to use nlinfit() or nlmefit() to do what you need.
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the cyclist
2013-8-21
I have posted some simple example of nlinfit in this forum. Search on "nlinfit" and "cyclist" to find them. I don't have much experience with nlmefit, but you are right that it is somewhat complicated (partly because of its flexibility). There are examples, of course, in the documentation.
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