plot.geelm

A collection of easy-to-use tools for regression analysis of survival data with a cure fraction proposed in Su et al. (2022) <doi:10.1177/09622802221108579>. The modeling framework is based on the Cox proportional hazards mixture cure model and the bounded cumulative hazard (promotion time cure) model. The pseudo-observations approach is utilized to assess covariate effects and embedded in the variable selection procedure.

Sy Han (Steven) Chiou

pseudoCure

A Pseudo-Observations Approach for Analyzing Survival Data with
a Cure Fraction

Chien-Lin  Su

Feng-Chang  Lin

plot.geelm function

<dl><dt>x</dt>
<dd>An object of class 'pCure', usually returned by the 'pCure()' function.</dd>
<dt>type</dt>
<dd>A character string specifying the type of plot to generate.
Available options are "residuals," "cv," and "trace,"
which correspond to the pseudo-residual plot, cross-validation plot,
and trace plot for different values of the tuning parameter, respectively.</dd>
<dt>...</dt>
<dd>Other arguments for future extension.</dd></dl>

Arguments

Plot method for 'geelm' objects — plot.geelm

<dl>

<dt>x</dt>
<dd>An object of class 'pCure', usually returned by the 'pCure()' function.</dd>


<dt>type</dt>
<dd>A character string specifying the type of plot to generate.
Available options are "residuals," "cv," and "trace,"
which correspond to the pseudo-residual plot, cross-validation plot,
and trace plot for different values of the tuning parameter, respectively.</dd>


<dt>...</dt>
<dd>Other arguments for future extension.</dd>

</dl>

plot.geelm: Plot method for 'geelm' objects

Description

Usage

Value

Arguments