MCRestimate v2.22.0

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
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
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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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