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 vec.primes, tmp.mat, vec.pimpvars, list.pimps, and cmp.

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

pimp.import


[Package LogicForest version 2.1.2 Index]