logic.vim {logicFS} | R Documentation |
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.
logic.pimp(log.out) logic.oob(log.out, prob.case = 0.5) logic.vim(log.out, prob.case = 0.5, addInfo = FALSE)
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? |
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.
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 ). |
Tech. Report on the feature selection using logic regression will be available soon.
Holger Schwender, holger.schwender@udo.edu
logic.bagging
, logic.fs
,
prime.implicants