AIC.spbp

Akaike information criterion for fitted spbp models

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

AIC.spbp function

<dl><dt>object</dt>
<dd>A fitted <code>"spbp"</code> object.</dd>
<dt>...</dt>
<dd>Additional fitted models for comparison.</dd>
<dt>k</dt>
<dd>Penalty per parameter (default 2).</dd></dl>

Arguments

Akaike information criterion for fitted spbp models — AIC.spbp

<dl>

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


<dt>...</dt>
<dd>Additional fitted models for comparison.</dd>


<dt>k</dt>
<dd>Penalty per parameter (default 2).</dd>

</dl>

AIC.spbp: Akaike information criterion for fitted spbp models

Description

Usage

Arguments