Mutual Forest Impact (Corrected Mean Adjusted Agreement).

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).

See also

MFI()