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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>.

Type Size Name Uploaded Downloads Labels
conda 471.8 kB | win-64/r-cold-2.0_0-r36h17ddedb_0.tar.bz2  5 years and 5 months ago 0 main
conda 450.2 kB | osx-64/r-cold-2.0_0-r36hfffe0aa_0.tar.bz2  5 years and 5 months ago 1 main
conda 454.4 kB | linux-64/r-cold-2.0_0-r36ha65eedd_0.tar.bz2  5 years and 5 months ago 1 main

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