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 |