Hi, I got two questions and would really appreciate any help from here.
First, is the penalized maximum likelihood estimation(Firth Type Estimation)
only fit for binary response (0,1 or TRUE, FALSE)? Can it be applied to
multinomial logistic regression?
If yes, what's the formula for LL and U(beta_i)? Can someone point me to
the right reference?
Second, when I used *logistf *on a dataset with binary response, I got the
following error msg:
"Error in if (mx > 1) delta <- delta/mx :
missing value where TRUE/FALSE needed"
What does this msg mean? does it mean the dataset includes missing response?
I checked my dataset several times and didn't find anything other than TRUE
or FALSE for the response. Please shed light on this.
Thanks,
Xiaoyan
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