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: 2021-08-23 07:51:48 UTC; mhgon
Repository: CRAN
Date/Publication: 2021-08-25 10:00:02 UTC
Built: R 4.3.3; aarch64-apple-darwin20; 2025-01-24 05:50:30 UTC; unix
Archs: cold.so.dSYM
