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MCRestimate (version 2.24.0)

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

2.24.0

License

GPL (>= 2)

Maintainer

Marc Johannes

Last Published

February 15th, 2017

Functions in MCRestimate (2.24.0)

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
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