model.mat

an object of class <code><a rd-options="=cold-class" href="/link/cold?package=cold&version=2.0-2&to=%3Dcold-class" data-mini-rdoc="=cold-class::cold">cold</a></code>.

object

Methods for function <code>model.mat</code> extracting the fixed effects model matrix for a fitted model object from class <code><a rd-options="=cold-class" href="/link/cold?package=cold&version=2.0-2&to=%3Dcold-class" data-mini-rdoc="=cold-class::cold">cold</a></code>.

function

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>.
M. Helena Goncalves and M. Salome Cabral (2021). <doi:10.18637/jss.v099.i03>.

M Helena Gonalves

cold

Count Longitudinal Data

model.mat function

an object of class <code><a rd-options='=cold-class' href='cold'>cold</a></code>.

Methods for function <code>model.mat</code> extracting the fixed effects model matrix for a fitted model object from class <code><a rd-options='=cold-class' href='cold'>cold</a></code>.

model.mat: Extract the fixed effects model matrix

Description

Usage

Arguments

Value