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MCRestimate (version 2.22.0)

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

2.22.0

License

GPL (>= 2)

Maintainer

Marc Johannes

Last Published

February 15th, 2017

Functions in MCRestimate (2.22.0)

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
RF.wrap

Wrapper function for different classification methods
MCRestimateMerge

Merging objects of class MCRestimate
plot.MCRestimate

Plot method for a objects of class MCRestimate
varSel.highest.var

Variable selection and cluster functions
important.variable.names

Writing tables with variable information
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.
MCRindError

Individual Error of the outer cross-validations
intersectList

A function for creating a all possible intersects for a list of sets.
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