Calculate AIC (Akaike Information Criterion).

Selecting linear and generalized linear models for large data sets
using modified stepwise procedure and modern selection criteria (like
modifications of Bayesian Information Criterion). Selection can be
performed on data which exceed RAM capacity. Bogdan et al., (2004)
<doi:10.1534/genetics.103.021683>.

Piotr Szulc

bigstep

Stepwise Selection for Large Data Sets

aic function

<dl><dt>loglik</dt>
<dd>A numeric, the log-likelihood.</dd>
<dt>k</dt>
<dd>An integer &gt;= 0, the number of selected variables.</dd></dl>

Arguments

AIC — aic

<dl>

<dt>loglik</dt>
<dd>A numeric, the log-likelihood.</dd>


<dt>k</dt>
<dd>An integer &gt;= 0, the number of selected variables.</dd>

</dl>

aic: AIC

Description

Usage

Value

Arguments

Examples