Count Longitudinal Data R package cold version 2.0-3 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) 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, <doi:10.18637/jss.v099.i03>) and Goncalves et al. (2007, Computational Statistics & Data Analysis, <doi:10.1016/j.csda.2007.03.002>). Software Depends: R (>= 3.5.3), methods, stats, graphics, grDevices, utils, cubature, MASS M. Helena Goncalves <mhgoncal@ualg.pt> Comprehensive R Archive Network (CRAN) M. Helena Goncalves and M. Salome Cabral, apart from a set of Fortran-77 subroutines written by R. Piessens and E. de Doncker, belonging to the suite "Quadpack". GPL (>= 2) 2021-08-25 application/tgz https://CRAN.R-project.org/package=cold doi:10.32614/CRAN.package.cold