# MCRestimate v2.26.0

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