simulate_data_re

Simulate a 500x500 dataset with 8 true fixed effects, 492 junk variables and a clustered outcome suitable for a 2 level random effects analysis. The strength of association between true variables and the outcome is governed by the error added at level 1 (defined by parameter sd_level_1) and level 2 (sd_level_2).

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

simulate_data_re function

<dl><dt>sd_level_1</dt>
<dd>Standard deviation of level 1 variables</dd>
<dt>sd_level_2</dt>
<dd>Standard deviation of level 2 variables</dd></dl>

Arguments

simulate_data_re — simulate_data_re

<dl>

<dt>sd_level_1</dt>
<dd>Standard deviation of level 1 variables</dd>


<dt>sd_level_2</dt>
<dd>Standard deviation of level 2 variables</dd>

</dl>

simulate_data_re: simulate_data_re

Description

Value

Arguments