MCRestimate v2.24.0

by Marc Johannes

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
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