Fits generalized linear models efficiently using 'RcppEigen'. The iteratively reweighted least squares
implementation utilizes the step-halving approach of Marschner (2011) <doi:10.32614/RJ-2011-012> to help safeguard
against convergence issues.

Fast and Stable Fitting of Generalized Linear Models using
'RcppEigen'

package-ubuntu-20.04-r-4.0.5#cran#fastglm-0.0.1

<p>deviance method for fastglm fitted objects
</p>

## S3 method for class 'fastglm'
deviance(object, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>object</code></td>
<td>
<p>fastglm fitted object</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>not used</p>
</td>
</tr>
</table>

<p>The value of the deviance extracted from the object
</p>

package-ubuntu-20.04-r-4.0.5#cran#fastglm-0.0.1#docs#deviance

deviance

Description

Usage

Arguments

Value

fastglm

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`object`	fastglm fitted object
`...`	not used