Nested Loop Cross Validation


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Documentation for package ‘nlcv’ version 0.2-0

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classify Wrapper to run all classifiers for one run
confusionMatrix.nlcv compute a confusion matrix for the optimal number of features for a given technique used in the nested loop cross validation
inTrainingSample Function to define a learning sample based on balanced sampling
limmaTwoGroups Wrapper around limma for the comparison of two groups
mcrPlot Misclassification Rate Plot
nlcv Nested Loop Cross-Validation
nlcvRF_R Simulated Datasets to Demonstrate nlcv Functionality
nlcvRF_SHS Simulated Datasets to Demonstrate nlcv Functionality
nlcvRF_SS Simulated Datasets to Demonstrate nlcv Functionality
nlcvRF_WHS Simulated Datasets to Demonstrate nlcv Functionality
nlcvRF_WS Simulated Datasets to Demonstrate nlcv Functionality
nlcvTT_R Simulated Datasets to Demonstrate nlcv Functionality
nlcvTT_SHS Simulated Datasets to Demonstrate nlcv Functionality
nlcvTT_SS Simulated Datasets to Demonstrate nlcv Functionality
nlcvTT_WHS Simulated Datasets to Demonstrate nlcv Functionality
nlcvTT_WS Simulated Datasets to Demonstrate nlcv Functionality
nldaI new MLInterfaces schema for lda from MASS
pamrI Instance of a learnerSchema for pamr models
pamrML Wrapper function around the pamr.* functions
pamrTrain Function providing a formula interface to pamr.train
predict.pamrML Wrapper function around the pamr.* functions
print.nlcvConfusionMatrix compute a confusion matrix for the optimal number of features for a given technique used in the nested loop cross validation
print.pamrML Wrapper function around the pamr.* functions
print.summary.mcrPlot Misclassification Rate Plot
rankDistributionPlot Plot the Distribution of Ranks of Features Across nlcv Runs
rocPlot Produce a ROC plot for a classification model belonging to a given technique and with a given number of features.
scoresPlot Function to Plot a Scores Plot
summary.mcrPlot Misclassification Rate Plot
topTable Methods for topTable
topTable-method Methods for topTable
topTable-methods Methods for topTable
xtable.confusionMatrix xtable method for confusionMatrix objects
xtable.summary.mcrPlot xtable method for summary.mcrPlot objects