plot.MCR

Plot multiple MCR model fits against Kaplan-Meier curve

Tools to fit Mixture Cure Rate models via the Expectation-Maximization (EM) algorithm, allowing for flexible link functions in the cure component and various survival distributions in the latency part. The package supports user-specified link functions, includes methods for parameter estimation and model diagnostics, and provides residual analysis tailored for cure models. The classical theory methods used are described in Berkson, J. and Gage, R. P. (1952) <doi:10.2307/2281318>, Dempster, A. P., Laird, N. M. and Rubin, D. B. (1977) <https://www.jstor.org/stable/2984875>, Bazán, J., Torres-Avilés, F., Suzuki, A. and Louzada, F. (2017)<doi:10.1002/asmb.2215>.

Jalmar M. F. Carrasco

EMGCR

Fit a Mixture Cure Rate Model with Custom Link Function

Chaeyeon Yoo

Dipak K. Dey

Victor H. Lachos

plot.MCR function

<dl><dt>...</dt>
<dd>One or more fitted MCR objects from <code>MCRfit()</code>.</dd></dl>

Arguments

Plot multiple MCR model fits against Kaplan-Meier curve — plot.MCR

<dl>

<dt>...</dt>
<dd>One or more fitted MCR objects from <code>MCRfit()</code>.</dd>

</dl>

plot.MCR: Plot multiple MCR model fits against Kaplan-Meier curve

Description

Usage

Value

Arguments