initial_Lambda: Initial value of the cumulative baseline hazard function

In geecure: Marginal Proportional Hazards Mixture Cure Models with Generalized Estimating Equations

Description

Obtain the initial value of the cumulative baseline hazard function in the latency part through the GEE with the independence working correlation matrix.

Usage

initial_Lambda(Time, Status, X, Z, id, model, corstr)

Arguments

Time	right censored data which is the follow up time.
Status	the censoring indicator, normally 0 = event of interest happens, and 0 = censoring.
X	a matrix of covariates corresponding to the latency part.
Z	a matrix of covariates corresponding to the incidence part.
id	a vector which identifies the clusters. The length of id should be the same as the number of observations.
model	specifies your model, it can be para which represents the parametric PHMC model with two-parameter Weibull baseline survival function, or semi which represents the semiparametric PHMC model.
corstr	a character string specifying the correlation structure. The following are permitted: independence and exchangeable.

geecure documentation built on May 2, 2019, 6:03 a.m.