Misclassification error estimation with cross-validation

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Documentation for package ‘MCRestimate’ version 2.34.0

Help Pages

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
ClassifierBuild.default Building a classifier as a combination of preprocessing and classification method
cluster.kmeans.mean Variable selection and cluster functions
GPLS.wrap Wrapper function for different classification methods
identity Variable selection and cluster functions
important.variable.names Writing tables with variable information
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
MCRestimate.default Estimation of misclassification error by cross-validation
MCRestimateMerge Merging objects of class MCRestimate
MCRindError Individual Error of the outer cross-validations
MCRwrongsamples Summary tables for MCRestimate objects
PAM.wrap Wrapper function for different classification methods
plot.MCRestimate Plot method for a objects of class MCRestimate
plotIndGroupVotes Individual Error of the outer cross-validations
PLR A function which performs penalised logistic regression classification for two groups
PLR.wrap Wrapper function for different classification methods
predict.PLR A function which performs penalised logistic regression classification for two groups
print.MCRestimate Estimation of misclassification error by cross-validation
replace.NA Replaces in a given numeric matrix NA values per row or per column.
RF.wrap Wrapper function for different classification methods
select.NA.elements Selects NA values of a given numeric matrix
SVM.OVA.wrap SVM with 'One-Versus-All' multiclass approach
SVM.wrap Wrapper function for different classification methods
varSel.AUC Variable selection and cluster functions
varSel.highest.t.stat Variable selection and cluster functions
varSel.highest.var Variable selection and cluster functions
varSel.impute.NA Variable selection and cluster functions
varSel.removeManyNA Variable selection and cluster functions