pimp.mat.nonbin {LogicForest} | R Documentation |
Predictor Importance Matrix - Regression
Description
Internal function called in pimp.import
to construct a binary/logical matrix of predictors used (columns) in each of the interactions of a sample (rows).
Usage
pimp.mat.nonbin(pimps.out, testdata)
Arguments
pimps.out |
R object containing |
testdata |
Out-of-bag sample. |
Details
NOTE: For classification models, pimp.mat.bin
is used.
Value
A list with:
- pimp.names
Vector of predictor names.
- pimp.datamat
Logical matrix of predictors used (columns) in each of the interactions of a sample (rows).
Author(s)
Bethany J. Wolf wolfb@musc.edu
References
Wolf BJ, Hill EG, Slate EH. Logic Forest: an ensemble classifier for discovering logical combinations of binary markers. Bioinformatics. 2010;26(17):2183-2189. doi:10.1093/bioinformatics/btq354
See Also
[Package LogicForest version 2.1.2 Index]