ll_AdPaik_centre_1D: One-Dimensional Group log-Likelihood Function

In TimeDepFrail: Time Dependent Shared Frailty Cox Model

One-Dimensional Group log-Likelihood Function

Description

This function simply implements the group log-likelihood function, following the definition. It is internally used by @ll_AdPaik_1D and, therefore, it requires as first and second argument the parameter according to which the global log-likelihood is one-dimensionally optimized and its position inside the vector of parameters.

Usage

ll_AdPaik_centre_1D(
  param_onedim,
  index_param_onedim,
  params,
  dataset,
  dropout_matrix,
  e_matrix
)

Arguments

param_onedim	One dimensional parameter, with respect to which the log-likelihood function must be optmize.
index_param_onedim	Index of the previous parameter inside the parameter vector.
params	Parameter vector.
dataset	Matrix of dataset regressors, with a number of rows equal to the number of individuals in a cluster.
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 @param time_int_eval.

Value

Centre log-likelihood function.

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