dm.bar: Vector of sample average of each moment function...

In depCensoring: Statistical Methods for Survival Data with Dependent Censoring

Vector of sample average of each moment function (\bar{m}_n(\theta)).

Description

This function computes the matrix containing the sample average of the partial derivatives of the moment functions.

Usage

dm.bar(data, beta, t, hp, dmi.tens = NULL)

Arguments

data	Data frame.
beta	Vector of coefficients.
t	Time point at which to compute the derivative of the moment functions. Also allowed to be a vector of time points (used in estimating the model under assumed time- independent coefficients).
hp	List of hyperparameters.
dmi.tens	Tensor of derivative moment function evaluations. Can be used to avoid some computation. Default is dmi.tens = NULL.

Value

A matrix containing the sample average of the partial derivatives of the moment functions. Each row corresponds to a moment function, each column corresponds to a coefficient.

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