gintp0

gintp

intp0

intp

pssgrd

pssgrd0

psslik

psslik0

gradlogL.pss0

gradLogL.pss0I

gradLogL.pss0Ic

gradLogL.pss0Ic2

gradLogL.pss0MC

gradLogL.pss0MC2

gradLogL.pss1

gradLogL.pss1I

gradLogL.pss1Ic

gradLogL.pss1Ic2

gradLogL.pssMC

gradLogL.pssMC2

logL.pss0

LogL.pss0I

LogL.pss0I.aux

LogL.pss0Ic

LogL.pss0Ic2

LogL.pss0Ic2.aux

LogL.pss0MC

LogL.pss0MC2

LogL.pss1

LogL.pss1I

LogL.pss1I.aux

LogL.pss1Ic

LogL.pss1Ic2

LogL.pss1Ic2.aux

LogL.pssMC1

LogL.pssMC2

num.info

num.infoI

num.infoIc

num.infoMC

<p>Functions for internal usage only.</p>

function

cold-internal

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>).

cold-internal: Internal functions

Description

Arguments