Table 1 Hyperparameter spaces used for tuning

glmnet

alpha

Elastic net mixing parameter. alpha = 1 is the LASSO, alpha = 0 is the ridge penalty

\(\left\{\mathrm{0,0.25,0.5,0.75,1}\right\}\)

ranger

num.trees

Number of trees

1000

mtry

Number of variables to possibly split at in each node

\(\left[\mathrm{1,100}\right]\subset {\mathbb{N}}\)

min.node.size

Minimal node size

\(\left[\mathrm{10,100}\right]\subset {\mathbb{N}}\)

MBMDRC

min.cell.size

Minimum number of samples with a specific genotype combination to be statistically relevant. If less, a cell is automatically labelled as \(O\)

\(\left[\mathrm{0,50}\right]\subset {\mathbb{N}}\)

alpha

Significance level used to determine \(H\), \(L\) and \(O\) label of a cell

\(\left(\mathrm{0.01,1}\right)\subset {\mathbb{R}}\)

adjustment

Adjustment for lower order marginal effects

{NONE, CODOMINANT}

order

Number of SNPs to be considered in MDR models

\(\left\{\mathrm{1,2}\right\}\)

order.range

Use order as upper limit?

{TRUE, FALSE}

o.as.na

Use \(O\) labelled cells as NA or as the global probability/mean estimate

{TRUE, FALSE}