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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
2.28.0
2.26.0
2.24.0
2.22.0
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Version
2.22.0
License
GPL (>= 2)
Maintainer
Marc Johannes
Last Published
April 20th, 2010
Functions in MCRestimate (2.22.0)
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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