Loglikelihood of the HLM model.

Source: R/chlm_loglik.R

Loglikelihood of the HLM model.

chlm_loglik(beta, gamma, y, delta, X, Z)

Arguments

beta

Mean parameter vector of length p.
gamma

Variance parameter vector of length q.
y

Vector of observations of length n.
delta

Optional logical vector of length n indicating the censorring status (TRUE: uncensored, FALSE: uncensored).
X

Mean covariate matrix of size n x p.
Z

Variance covariate matrix of size n x q.

Value

The loglikelihood evaluated at the parameters values (a scalar).