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>.

Version: 2.0-0
Depends: R (≥ 3.1.0), methods, stats, graphics, grDevices, utils, cubature
Published: 2019-07-22
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 at ualg.pt>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: cold citation info
Materials: NEWS
CRAN checks: cold results

Downloads:

Reference manual: cold.pdf
Package source: cold_2.0-0.tar.gz
Windows binaries: r-devel: cold_2.0-0.zip, r-release: cold_2.0-0.zip, r-oldrel: cold_2.0-0.zip
OS X binaries: r-release: cold_2.0-0.tgz, r-oldrel: cold_2.0-0.tgz
Old sources: cold archive

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