A little while ago, I asked for some help in estimating "multinomial conditional logit models". If you restructure your data, you can estimate a multinomial logit as a conditional logit model. This gives flexibility in imposing constraints on your dependent variable. One application is to estimate a loglinear model for square tables such as quasi-independence or quasi-symmetry with covariates.
Anyhow, I think I've sorted out most of the problems and I've posted a sample program at http://www.xs4all.nl/~jhckx/mcl/R/ There's also a sample program there on how to estimate models for square tables, aka mobility models. Comments and suggestions on how to do things more efficiently or elegantly in R are most welcome. One problem that remains is that clogit in R doesn't produce the same estimates as other programs like Stata. I've estimated this sample model in several packages and they all have the same estimates to 3 decimal places accuracy. I've tried different convergence settings in clogit but to no effect. I'd appreciate it if anyone could clarify this. Best regards, John Hendrickx ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
