ll_AdPaik_eval: Evaluation of Model log-Likelihood

In TimeDepFrail: Time Dependent Shared Frailty Cox Model

Evaluation of Model log-Likelihood

Description

Evaluation of the log-likelihood function at the provided parameter vector and data.

Usage

ll_AdPaik_eval(params, dataset, centre, time_axis, dropout_matrix, e_matrix)

Arguments

params	Parameter vector
dataset	Matrix of dimension equal to (number of individuals in the study, number of regressors), where only the regressors indicated in the formula object are considered.
centre	Vector of length equal to the number of individuals in the study, where each element corresponds to the individual cluster membership.
time_axis	Temporal domain
dropout_matrix	Binary matrix indicating in which interval of the time domain and individual failed. For an individual, the sum of the row elements must be equal to 1 (if he/she failed) or 0 (if he/she does not failed). It has dimension equal to (n_individuals, n_intervals)
e_matrix	Matrix of dimension (n_individual, n_intervals), where each element contains the evaluation of the temporal integral, performed through the function @time_int_eval.

Details

The function divides the individuals according to their group/cluster membership and then evaluates the group log-likelihood through another implemented function, but using all and only the individuals belonging to that group. Then the results are summed together to return the overall log-likelihood value.

Value

Overall log-likelihood function value at the provided parameters and data

TimeDepFrail documentation built on April 11, 2025, 5:41 p.m.