MCRestimate v2.24.0

by Marc Johannes

Misclassification error estimation with cross-validation

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

Functions in MCRestimate

Name	Description
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
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Details

Date	21 April 2010
License	GPL (>= 2)
LazyLoad	yes
biocViews	Classification

imports	Biobase (>= 2.5.5) , e1071 (>= 1.5-12) , graphics , grDevices , pamr (>= 1.22) , randomForest (>= 3.9-6) , RColorBrewer (>= 0.1-3) , stats , utils
suggests	genefilter (>= 1.12.0) , gpls (>= 1.6.0) , ROC (>= 1.8.0) , xtable (>= 1.2-1)
depends	golubEsets (>= 1.4.6) , R (>= 2.7.2)
Contributors	Markus Ruschhaupt, Andreas Buness, Patrick Warnat, Axel Benner, Marc Johannes, Tim Beissbarth, Ulrich Mansmann, Wolfgang Huber, Holger Froehlich

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