# Is there a software package to fit grouped (aggregated) logistic panel regression models?

I have a dataset that looks like the following

id | time | trial  | success | other covariates
1    0  10    4
1    1  23    10
1    2  100   29
2    0  5     1


etc

this is basically a panel aggregated logistic regression. Can someone point me towards a package I can use for grouped logistic PANEL regression? I am aware of PGLM package in R I tried to use stata with xtlogit but it wouldn't take grouped logistic with fweight options. What I am looking for is something like blogit in stata but something that can take panel data. I'd presume the function would be called xtblogit but it doesn't exist.

Thank you!

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Can you clarify what you mean by panel and aggregated in this context? Or even better, provide some data that works in R or Stata but for which you're not quite getting the result you want. I'm thinking that what you're looking for in R is a glmm with id as a random effect and the 2 column response, but your terminology is making it hard to see if that's true. –  atiretoo Jul 2 '12 at 22:41
If you have a reasonably recent version of Stata (version 10, released 2007, or above) you can use the xtmelogit command. While xtlogit fits only a random intercept, xtmelogit allows you to specify more random effects. Depending on your model, you may or may not want to make use of that. But xtmelogit also has a binomial(varname)option that allows for grouped binomial data of the form you have.
Alternatively, if the random-intercept model is sufficient and you prefer to use xtlogit with its somewhat simpler syntax, you could convert your data into the form it wants by 'de-aggregating' it. Joseph Hilbe wrote an unblock command ages ago to make that easier: type findit unblock to install it.