It is recommended to use the simpler [MFI()] method.
Usage
MutualForestImpact(REL, PERM, variables, candidates)
Arguments
- REL
A [MeanAdjustedAgreement()] object.
- PERM
A permutated [MeanAdjustedAgreement()] object.
- variables
Vector of variable names for **which related variables should be searched**.
- candidates
Vector of variable names that **are candidates to be related to the variables**.
Value
A `MutualForestImpact` list object.
* `REL`: The [MeanAdjustedAgreement()] object.
* `PERM`: The permutated [MeanAdjustedAgreement()] object.
* `relations`: Matrix of determined relations (rows: investigated variables, columns: candidate variables).