cold: Count Longitudinal Data

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; M. Helena Goncalves et al.(2007) <doi:10.1016/j.csda.2007.03.002>.

Package details

AuthorM. 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".
MaintainerM. Helena Goncalves <mhgoncal@ualg.pt>
LicenseGPL (>= 2)
Version2.0-1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("cold")

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cold documentation built on March 26, 2020, 6:26 p.m.