A likelihood model for observations that are exact observations of a random variable that follows a Weibull distribution. The model assumes that the observations are independent and identically distributed (i.i.d.).
This model defines all the relevant functions to satisfy being a likelihood model. It explicitly provides the following functions:
loglik.likelihood_exact_weibull: generates the log-likelihood
function for the model.
score.likelihood_exact_weibull: generates the score function
for the model.
hess_loglik.likelihood_exact_weibull: generates the Hessian
of the log-likelihood for the model.
Note: This model may be used as a contribution in the
likelihood_contr_model if a more complicated likelihood model
is needed. For instance, if censoring is needed, then
you can also define a censoring likelihood model, or just
directly define it in the likelihood_contr_model
if it is simple enough.
likelihood_exact_weibull(ob_col)The name of the column in a data frame that contains the observations.