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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 511.8 kB | linux-64/r-cold-2.0_3-r43h640688f_0.tar.bz2  1 year and 1 month ago 23 main
conda 509.6 kB | linux-64/r-cold-2.0_3-r42h640688f_0.tar.bz2  2 years and 8 months ago 56 main

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