Count Longitudinal Data
Methods for function anova
Bolus data
Methods for function coeftest
Extract summary statistics
Class cold of a maximum likelihood estimation
Internal functions
Count Longitudinal Data
Fit of parametric models via likelihood method
Auxiliary for controlling "cold" fitting
Auxiliary for controlling "cold" fitting
Auxiliary for controlling "cold" fitting
Data
Data with missing values
Methods for function fitted
Methods for function fixeff
Extract fixed effects estimates
Methods for function getAIC
Extract the Akaike Information Criterion
Methods for function getcoef
Extract the coefficient estimates
Methods for function getLogLik
Extract Log-Likelihood
Methods for function getvcov
Extract variance-covariance matrix
Methods for function model.mat
Extract the fixed effects model matrix
Methods for function plot
Methods for function randeff
Extract conditional random effects
Methods for function residd
Epileptic Seizure
Methods for function show
Methods for function summary
Class summary.cold, summary of cold objects
Methods for function vareff
Extract variance of random effects
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>).