Prepare sparse matrix with interactions.
Usage
interSparseM(data, k, corr_cut = 0.9)
Arguments
- data
data table / dataframe
- k
order of interactions: defaults to pairwise interactions
- corr_cut
cutoff for correlation threshold to drop one of the vars (default = 0.9)
Value
matrix with interactions