plot.funsurv

A collection of methods for modeling time-to-event data using both functional and scalar predictors. It implements functional data analysis techniques for estimation and inference, allowing researchers to assess the impact of functional covariates on survival outcomes, including time-to-single event and recurrent event outcomes.

Zifang Kong

FunSurv

Modeling Time-to-Event Data with Functional Predictors

Sy Han (Steven) Chiou

Yu-Lun Liu

plot.funsurv function

<dl><dt>x</dt>
<dd>A funsurv object</dd>
<dt>what</dt>
<dd>A character string specifying what to be plotted.
Use <code>what = "beta"</code> to plot the estimated \(\beta(t)\).
Use <code>what = "fpc"</code> to plot the functional principal components associated with the the longitudinal measurements.
Use <code>what = "basesurv"</code> to plot the baseline survival probabilities.</dd>
<dt>...</dt>
<dd>additional graphical parameters to be passed to methods.</dd></dl>

Arguments

Plot method for 'funsurv' objects — plot.funsurv

<dl>

<dt>x</dt>
<dd>A funsurv object</dd>


<dt>what</dt>
<dd>A character string specifying what to be plotted.
Use <code>what = "beta"</code> to plot the estimated \(\beta(t)\).
Use <code>what = "fpc"</code> to plot the functional principal components associated with the the longitudinal measurements.
Use <code>what = "basesurv"</code> to plot the baseline survival probabilities.</dd>


<dt>...</dt>
<dd>additional graphical parameters to be passed to methods.</dd>

</dl>

plot.funsurv: Plot method for 'funsurv' objects

Description

Usage

Value

Arguments

Examples