get.dmi.tens: Faster implementation to obtain the tensor of the evaluations...

In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

Faster implementation to obtain the tensor of the evaluations of the derivatives of the moment functions at each observation.

Description

This function provides a faster implementation of obtaining the evaluations of the derivative of the moment functions at each observation (wrt the previous implementation using 'dm.comp' and 'dm.R'). Used in the function G.hat.R

Usage

get.dmi.tens(data, beta, t, hp, inst.func.evals = NULL)

Arguments

data	Data frame.
beta	Vector of coefficients.
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.
inst.func.evals	Precomputed matrix of instrumental function evaluations. Defaults is inst.func.evals = NULL, in which case the evaluations will be done inside this function.

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