Fitted probabilities in conditional logit regression

Dear R-help,

        I'm doing conditional logit regression for a discrete choice model.
I want to know whether there's a way to get the fitted probabilities. In
Stata, "predict" works for clogit, but it seems that in R "predict" does
not.

        Thank you very much!

        Best wishes.

Can you explain/demonstrate how/why "predict" doesn't work for clogit? I
can get predictions from a clogit model:

## from ?clogit
mod <- clogit(case~spontaneous+induced+strata(stratum),data=infert)
predict(mod)
predict(mod, type = "expected")

all work for that example to give the "fitted" values.

See ?predict.coxph for details of the predict function. I'm not familiar
with either the code or the methods, but 'type = "expected"' seems to
give what you want.

HTH

G

%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%
 Dr. Gavin Simpson             [t] +44 (0)20 7679 0522
 ECRC, UCL Geography,          [f] +44 (0)20 7679 0565
 Pearson Building,             [e] gavin.simpsonATNOSPAMucl.ac.uk
 Gower Street, London          [w] http://www.ucl.ac.uk/~ucfagls/
 UK. WC1E 6BT.                 [w] http://www.freshwaters.org.uk
%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%~%