Performs regression analysis for longitudinal count data,
allowing for serial dependence among observations from a given
individual and two dimensional random effects on the linear predictor.
Estimation is via maximization of the exact likelihood of a suitably
defined model. Missing values and unbalanced data are allowed.
Details can be found in the accompanying scientific papers:
Goncalves & Cabral (2021, Journal of Statistical Software,
2015-04-15, version 1.0-4:
2013-10-05, version 1.0-3:
2013-07-30, version 1.0-2:
2013-06-26, version 1.0-1:
2013-06-20, version 1.0-0: first upload to CRAN.