# MCRestimate v2.24.0

## 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 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 select.NA.elements Selects NA values of a given numeric matrix SVM.OVA.wrap SVM with 'One-Versus-All' multiclass approach MCRindError Individual Error of the outer cross-validations MCRconfusion Summary tables for MCRestimate objects MCRestimate Estimation of misclassification error by cross-validation 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. intersectList A function for creating a all possible intersects for a list of sets. RF.wrap Wrapper function for different classification methods important.variable.names Writing tables with variable information varSel.highest.var Variable selection and cluster functions MCRestimateMerge Merging objects of class MCRestimate plot.MCRestimate Plot method for a objects of class MCRestimate No Results!