permute

Calculates permutation threshold for null model, where a specified model is run over multiple bootstrap resamples of multiple permuted version of the dataset.

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

permute function

<dl><dt>data</dt>
<dd>a dataframe containing an outcome variable to be permuted</dd>
<dt>outcome</dt>
<dd>the outcome to be permuted as a string (i.e. "y")</dd>
<dt>permutations</dt>
<dd>the number of times to be permuted per repeat</dd>
<dt>perm_boot_reps</dt>
<dd>the number of times to repeat each set of permutations</dd>
<dt>quantile</dt>
<dd>The quantile of null stabilities to use as a threshold.</dd></dl>

Arguments

permute — permute

<dl>

<dt>data</dt>
<dd>a dataframe containing an outcome variable to be permuted</dd>


<dt>outcome</dt>
<dd>the outcome to be permuted as a string (i.e. "y")</dd>


<dt>permutations</dt>
<dd>the number of times to be permuted per repeat</dd>


<dt>perm_boot_reps</dt>
<dd>the number of times to repeat each set of permutations</dd>


<dt>quantile</dt>
<dd>The quantile of null stabilities to use as a threshold.</dd>

</dl>

permute: permute

Description

Arguments