REsmcure: Mixture Cure Model with Correlated Random Effects

In HansTierens/MMixCure: Fit a Multilevel Mixture Cure with Correlated Random Effects in Incidence and Latency

Description

Implementation and Parameter optimization using the EM-algorithm.

Usage

REsmcure(formula, cureform, RE = "grp", rho = F, data, emmax = 50, eps = 1e-07)

Arguments

formula	Double-sided formula ... .
cureform	Right-hand-side formula for the latent incidence model.
RE	String input identifying the variable name corresponding to the grouping variable.
rho	Logical value. TRUE indicates estimation of the correlation parameter. FALSE sets the correlation to zero.
data	data.frame for the dataset which contains all input data.
emmax	Maximum number of iterations for the Expectation-Maximization Algorithm (default = 50).
eps	Hyperparameter: convergence criterion (tolerance) on squared changes between iterations (default =1e-07).

HansTierens/MMixCure documentation built on Dec. 31, 2020, 12:59 p.m.