Man pages for nlcv
Nested Loop Cross Validation

compareOrigfunction to compare the original matrix of correct classes to...
confusionMatrix.nlcvcompute a confusion matrix for the optimal number of features...
inTrainingSampleFunction to define a learning sample based on balanced...
limmaTwoGroupsWrapper around limma for the comparison of two groups
mcrPlotMisclassification Rate Plot
nlcvNested Loop Cross-Validation
nlcvRF_Rnlcv results on random data with random forest feature...
nlcvRF_SHSnlcv results on strong hetero signal data with random forest...
nlcvRF_SSnlcv results on strong signal data a with random forest...
nlcvRF_WHSnlcv results on weak signal data with random forest feature...
nlcvRF_WSnlcv results on weak hetero signal data with random forest...
nlcvTT_Rnlcv results on random data with t-test feature selection
nlcvTT_SHSnlcv results on strong hetero signal data with t-test feature...
nlcvTT_SSnlcv results on strong signal data a with t-test feature...
nlcvTT_WHSnlcv results on weak signal data with t-test feature...
nlcvTT_WSnlcv results on weak hetero signal data with t-test feature...
nldaInew MLInterfaces schema for lda from MASS
pamrIInstance of a learnerSchema for pamr models
pamrIconverterconvert from 'pamrML' to 'classifierOutput'
pamrMLWrapper function around the pamr.* functions
pamrTrainFunction providing a formula interface to pamr.train
predict.pamrMLpredict 'pamrML' object
print.nlcvConfusionMatrixprint object 'nlcvConfusionMatrix'
print.pamrMLprint 'pamrML' object
print.summary.mcrPlot'print' function for 'summary.mcrPlot' object
rankDistributionPlotPlot the Distribution of Ranks of Features Across nlcv Runs
rocPlotProduce a ROC plot for a classification model belonging to a...
scoresPlotFunction to Plot a Scores Plot
summary.mcrPlot'summary' function for 'mcrPlot' object
topTable-methodsMethods for topTable
xtable.confusionMatrixxtable method for confusionMatrix objects
xtable.summary.mcrPlotxtable method for summary.mcrPlot objects
nlcv documentation built on May 2, 2019, 7:28 a.m.