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.
The package "pglm" might be what you need.
http://cran.r-project.org/web/packages/pglm/pglm.pdf
This package offers some functions of glm-like models for panel data.