predict.fit_models

Predict method for <code>fit_models</code>

Inspect survival data, plot Kaplan-Meier curves, assess the
proportional hazards assumption, fit parametric survival models,
predict and plot survival and hazards, and export the outputs to
Excel.  A simple interface for fitting survival models using
'flexsurv::flexsurvreg()', 'flexsurv::flexsurvspline()',
'flexsurvcure::flexsurvcure()', and 'survival::survreg()'.

Niall Davison

easysurv

Simplify Survival Data Analysis and Model Fitting

Brad Kievit

Maple Health Group, LLC 

predict.fit_models function

<dl><dt>object</dt>
<dd>An object of class <code>fit_models</code></dd>
<dt>eval_time</dt>
<dd>(Optional) A vector of evaluation time points for generating
predictions. Default is <code>NULL</code>, which if left as NULL, generates a
sequence from 0 to 5 times the maximum observed time.</dd>
<dt>type</dt>
<dd>A character vector indicating the type of predictions to
generate. Default is <code>c("survival", "hazard")</code>.</dd>
<dt>...</dt>
<dd>Additional arguments</dd></dl>

Arguments

Predict method for fit_models — predict.fit_models

<dl>

<dt>object</dt>
<dd>An object of class <code>fit_models</code></dd>


<dt>eval_time</dt>
<dd>(Optional) A vector of evaluation time points for generating
predictions. Default is <code>NULL</code>, which if left as NULL, generates a
sequence from 0 to 5 times the maximum observed time.</dd>


<dt>type</dt>
<dd>A character vector indicating the type of predictions to
generate. Default is <code>c("survival", "hazard")</code>.</dd>


<dt>...</dt>
<dd>Additional arguments</dd>

</dl>

predict.fit_models: Predict method for `fit_models`

Description

Usage

Value

Arguments

Examples