Calculate the Log-Likelihood of the COM-Poisson model

Source: R/comp_mu_loglik.R

A function to compute the log-likelihood of the COM-Poisson model.

comp_mu_loglik(param, y, xx, offset, summax)

comp_mu_neg_loglik_log_nu_only(log_nu, mu, y, summax)

Arguments

param

numeric vector: the model coefficients & the current value of nu. It is assumed that nu is in the last position of param.

y

numeric vector: response variable

xx

numeric matrix: the explanatory variables

offset

numeric vector: a vector of length equal to the number of cases

summax

maximum number of terms to be considered in the truncated sum

log_nu

numeric: nu in log-scale

mu

numeric vector: fitted mean parameters

Value

comp_mu_loglik returns the log-likelihood value of the COM-Poisson model based on Huang (2017). comp_mu_neg_loglik_log_nu_only returns the negative log-likelihood value of the COM-Poisson model based on Ribeiro Jr et al. (2018)'s specification to use in conjunction with optim.