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MCRestimate (version 2.28.0)

Misclassification error estimation with cross-validation

Description

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

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Version

Version

2.28.0

License

GPL (>= 2)

Maintainer

Marc Johannes

Last Published

February 15th, 2017

Functions in MCRestimate (2.28.0)

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