deviance.backf

This function returns the deviance of the fitted additive model using one of the three
classical or robust marginal integration estimators, as computed with <code>backf.cl</code> or
<code>backf.rob</code>.

A robust backfitting algorithm for additive models based on (robust) local polynomial
kernel smoothers. It includes both bounded and re-descending (kernel) M-estimators, and
it computes predictions for points outside the training set if desired. See
Boente, Martinez and Salibian-Barrera (2017) <doi:10.1080/10485252.2017.1369077> and
Martinez and Salibian-Barrera (2021) <doi:10.21105/joss.02992> for details.

Matias Salibian-Barrera

Robust Backfitting

Alejandra Martinez

deviance.backf function

<dl><dt>object</dt>
<dd>an object of class <code>backf</code>, a result of a call to <code>backf.cl</code> or <code>backf.rob</code>.</dd>
<dt>...</dt>
<dd>additional other arguments. Currently ignored.</dd></dl>

Arguments

Alejandra Mercedes Martinez <a href="/link/ale_m_martinez%40hotmail.com?package=RBF&version=2.1.1" data-mini-rdoc="RBF::ale_m_martinez@hotmail.com">ale_m_martinez@hotmail.com</a>

Author

Deviance for objects of class backf — deviance.backf

<dl>

<dt>object</dt>
<dd>an object of class <code>backf</code>, a result of a call to <code>backf.cl</code> or <code>backf.rob</code>.</dd>


<dt>...</dt>
<dd>additional other arguments. Currently ignored.</dd>

</dl>

Alejandra Mercedes Martinez <a href='mailto:ale_m_martinez@hotmail.com'>ale_m_martinez@hotmail.com</a>

deviance.backf: Deviance for objects of class `backf`

Description

Usage

Value

Arguments

Author