em: EM algorithm

In smcure: Fit Semiparametric Mixture Cure Models

EM algorithm

Description

EM algorithm used in the mixture cure model by assuming a latent indicator of uncure. Detailed estimation methods can be found in the reference section

Usage

em(Time, Status, X, Z, offsetvar, b, beta, model, link, emmax, eps)

Arguments

Time	time to event of interest
Status	status indicator, 0=alive, 1=dead
X	a vector or matrix of covariates corresponding to latency part
Z	a vector or matrix of covariates corresponding to incidence part
offsetvar	offset variable
b	initial value for parameter b
beta	initial value for parameter beta
model	either "ph" or "aft"
link	specifies the link in incidence part. The "logit", "probit" or complementary loglog ("cloglog") links are available. By default link = "logit".
emmax	specifies the maximum iteration number. If the convergence criterion is not met, the EM iteration will be stopped after emmax iterations and the estimates will be based on the last maximum likelihood iteration. The default emmax = 100.
eps	sets the convergence criterion. The default is eps = 1e-7. The iterations are considered to be converged when the maximum relative change in the parameters and likelihood estimates between iterations is less than the value specified.

smcure documentation built on May 9, 2022, 9:08 a.m.