augment.spbp

Add fitted values, residuals, and optional survival predictions to the
training (or supplied) data.

Semiparametric survival analysis based on Bernstein polynomials.
'spsurv' includes proportional hazards, proportional odds and accelerated
failure time frameworks for right-censored data. RV Panaro (2020)
<doi:10.48550/arXiv.2003.10548>.

Renato Panaro

spsurv

Bernstein Polynomial Based Semiparametric Survival Analysis

Fábio Demarqui

Vinicius Mayrink

augment.spbp function

<dl><dt>x</dt>
<dd>A fitted <code>"spbp"</code> object.</dd>
<dt>data</dt>
<dd>Optional data frame; defaults to the training data when available.</dd>
<dt>eval_time</dt>
<dd>Optional numeric vector of times for nested survival
predictions (same structure as <code>predict(x, type = "survival")</code>).</dd>
<dt>type</dt>
<dd>Residual type passed to <code>residuals.spbp</code>.</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Augment data with spbp model information — augment.spbp

<dl>

<dt>x</dt>
<dd>A fitted <code>"spbp"</code> object.</dd>


<dt>data</dt>
<dd>Optional data frame; defaults to the training data when available.</dd>


<dt>eval_time</dt>
<dd>Optional numeric vector of times for nested survival
predictions (same structure as <code>predict(x, type = "survival")</code>).</dd>


<dt>type</dt>
<dd>Residual type passed to <code>residuals.spbp</code>.</dd>


<dt>...</dt>
<dd>Not used.</dd>

</dl>

augment.spbp: Augment data with spbp model information

Description

Usage

Value

Arguments