compute_m_sigma: Computes "M" and "Sigma" matrices for the sandwich estimator...

In MRTSampleSizeBinary: Sample Size Calculator for MRT with Binary Outcomes

Computes "M" and "Sigma" matrices for the sandwich estimator of variance-covariance matrix.

Description

A helper function for mrt_binary_power() and mrt_binary_ss().

Usage

compute_m_sigma(avail_pattern, f_t, g_t, beta, alpha, p_t)

Arguments

avail_pattern	A vector of length T that is the average availability at each time point
f_t	Defines marginal excursion effect MEE(t) under alternative together with beta. Assumed to be matrix of size T*p.
g_t	Defines success probability null curve together with alpha. Assumed to be matrix of size T*q.
beta	Length p vector that defines marginal excursion effect MEE(t) under alternative together with f_t.
alpha	Length q vector that defines success probability null curve together with g_t.
p_t	Length T vector of randomization probabilities at each time point

Value

List containing two matrices. The first is the M matrix and the second is the Sigma matrix.

Examples

           compute_m_sigma(tau_t_1, f_t_1, g_t_1, beta_1, alpha_1,
                                      p_t_1)

MRTSampleSizeBinary documentation built on May 1, 2022, 5:08 p.m.