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