Description
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,
) and Goncalves et al.
(2007, Computational Statistics & Data Analysis,
).