# Nested Loop Cross Validation

## Documentation for package ‘nlcv’ version 0.2-0

- DESCRIPTION file.
- Overview of user guides and package vignettes; browse directory.
- Package NEWS.

## Help Pages

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