MCRestimate: Misclassification error estimation with cross-validation

This package includes a function for combining preprocessing and classification methods to calculate misclassification errors

Install the latest version of this package by entering the following in R:
AuthorMarc Johannes, Markus Ruschhaupt, Holger Froehlich, Ulrich Mansmann, Andreas Buness, Patrick Warnat, Wolfgang Huber, Axel Benner, Tim Beissbarth
Bioconductor views Classification
Date of publicationNone
MaintainerMarc Johannes <>
LicenseGPL (>= 2)

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class.factor.format Man page
ClassifierBuild Man page
ClassifierBuild.default Man page
cluster.kmeans.mean Man page
GPLS.wrap Man page
identity Man page
important.variable.names Man page
intersectList Man page
MCRconfusion Man page
MCRestimate Man page
MCRestimate.default Man page
MCRestimateMerge Man page
MCRindError Man page
MCRwrongsamples Man page
PAM.wrap Man page
plotIndGroupVotes Man page
plot.MCRestimate Man page
PLR Man page
PLR.wrap Man page
predict.PLR Man page
print.MCRestimate Man page
replace.NA Man page
RF.wrap Man page
select.NA.elements Man page
SVM.OVA.wrap Man page
SVM.wrap Man page
varSel.AUC Man page
varSel.highest.t.stat Man page
varSel.highest.var Man page
varSel.impute.NA Man page
varSel.removeManyNA Man page

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