logic.vim {logicFS}R Documentation

Prime Implicants

Description

logic.pimp computes the prime implicants of an object of class logicBagg.

logic.vim additionally computes the importance of the prime implicants.

logic.oob computes the out-of-bag error of a logicBagg object.

Usage

logic.pimp(log.out)
logic.oob(log.out, prob.case = 0.5)
logic.vim(log.out, prob.case = 0.5, addInfo = FALSE)

Arguments

log.out an object of class logicBagg.
prob.case a numeric value between 0 and 1. If the outcome of the logistic regression, i.e. the predicted probability, for an observation is larger than prob.case this observations will be classified as case (or 1).
addInfo should further information on the logic regression models be added?

Details

Since we are interested in all potentially interested SNP interactions and not in a minimum set of them both logic.pimp and logic.vim return all prime implicants and not a minimum number of them.

Value

logic.pimp returns a list consisting of the prime implicants for each of the B logic regression models of log.out.
logic.oob returns the out-of-bag error.
logic.vim returns an object of class logicFS containing

primes the prime implicants
vim the importance of the prime implicants
prop the proportion of logic regression models that contain the prime implicants
type the type of model (1: classification, 3: logistic regression)
param further parameters (if addInfo=TRUE).

Note

Tech. Report on the feature selection using logic regression will be available soon.

Author(s)

Holger Schwender, holger.schwender@udo.edu

See Also

logic.bagging, logic.fs, prime.implicants


[Package logicFS version 1.2.0 Index]