Is it possible to do regressions in R using a panel data set with a binary dependent variable? I am familiar with using glm for logit and probit and plm for panel data, but am not sure how to combine the two. Are there any existing code examples?
EDIT
It would also be helpful if I could figure out how to extract the matrix that plm() is using when it does a regression. For instance, you could use plm to do fixed effects, or you could create a matrix with the appropriate dummy variables and then run that through glm(). In a case like this, however, it is annoying to generate the dummies yourself and it would be easier to have plm do it for you.
model.frame(plmmodel)
will give you the data frame that is actually used by plm for fitting the model (i.e. after list-wise deletion if you have NAs, etc.)
I don't think that plm has implemented functions to estimate models with binary outcomes, but I may be wrong. Check out the reference manual at: http://cran.r-project.org/web/packages/plm/index.html
If I'm right, this would suggest that you can't "combine the two" without considerable work in extending the functions provided by plm.