Package: cold
Type: Package
Title: Count Longitudinal Data
Version: 2.0-3
Author: 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".
Maintainer: M. Helena Goncalves <mhgoncal@ualg.pt>
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, <doi:10.18637/jss.v099.i03>)
        and Goncalves et al. (2007, Computational Statistics & Data
        Analysis, <doi:10.1016/j.csda.2007.03.002>).
Encoding: UTF-8
NeedsCompilation: yes
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Depends: R (>= 3.5.3), methods, stats, graphics, grDevices, utils,
        cubature, MASS
Packaged: 2026-10-06 11:46:32 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2021-08-25 09:00:02 UTC
RemoteUrl: https://github.com/cran/cold
RemoteRef: HEAD
RemoteSha: 16be37d90686c7c880ac3ed44b7dfc1a3f4a4d6b