lf.ts: 'Loss function' of the test statistic.

In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

'Loss function' of the test statistic.

Description

This function implements the loss function used in computing the test statistic.

Usage

lf.ts(beta.sub, data, t, hp, c, r, inst.func.evals = NULL)

Arguments

beta.sub	Subvector of coefficient vector.
data	Data frame.
t	Time point of interest. Also allowed to be a vector of time points (used in estimating the model under assumed time- independent coefficients).
hp	List of hyperparameters.
c	Unit vector containing unity at the location of the parameter of interest.
r	Value of the parameter of interest that is tested.
inst.func.evals	Pre-computed matrix of insturmental function evaluations. If not supplied, it will be computed during execution of this function.

Value

S-functions evaluation for the specified parameter vector.

depCensoring documentation built on April 4, 2025, 1:52 a.m.