MCRestimate v2.26.0

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
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.
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