# MCRestimate v2.28.0

## Misclassification error estimation with cross-validation

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

## Functions in MCRestimate

 Name Description MCRindError Individual Error of the outer cross-validations ClassifierBuild Building a classifier as a combination of preprocessing and classification method important.variable.names Writing tables with variable information class.factor.format A function for creating a factor from the phenoData slot of an exprSet varSel.highest.var Variable selection and cluster functions PLR A function which performs penalised logistic regression classification for two groups plot.MCRestimate Plot method for a objects of class MCRestimate MCRconfusion Summary tables for MCRestimate objects replace.NA Replaces in a given numeric matrix NA values per row or per column. intersectList A function for creating a all possible intersects for a list of sets. select.NA.elements Selects NA values of a given numeric matrix MCRestimateMerge Merging objects of class MCRestimate RF.wrap Wrapper function for different classification methods MCRestimate Estimation of misclassification error by cross-validation SVM.OVA.wrap SVM with 'One-Versus-All' multiclass approach No Results!