stabiliser_prep

Prepares dataset using recipes framework

internal

A stable approach to variable selection through stability selection and the use of a permutation-based objective stability threshold. Lima et al (2021) <doi:10.1038/s41598-020-79317-8>, Meinshausen and Buhlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>.

Robert Hyde

stabiliser

Stabilising Variable Selection

Martin Green

Eliana Lima

stabiliser_prep function

<dl><dt>normalise</dt>
<dd>Normalise numeric variables (TRUE/FALSE)</dd>
<dt>dummy</dt>
<dd>Create dummy variables for factors/characters (TRUE/FALSE)</dd>
<dt>impute</dt>
<dd>Impute missing data (TRUE/FALSE)</dd></dl>

Arguments

stabiliser_prep — stabiliser_prep

<dl>

<dt>normalise</dt>
<dd>Normalise numeric variables (TRUE/FALSE)</dd>


<dt>dummy</dt>
<dd>Create dummy variables for factors/characters (TRUE/FALSE)</dd>


<dt>impute</dt>
<dd>Impute missing data (TRUE/FALSE)</dd>

</dl>

stabiliser_prep: stabiliser_prep

Description

Arguments