aucMCV | AUC multiple cross-validation |
autoscale | Unit variance scaling method performed on the columns of the... |
cachexiaData | Metabolite concentrations |
combinatorialRFMCCV | Combinatorial Monte Carlo CV |
forestPerformance | Characterizing the performance of a Random Forest model |
getAvgAUC | Computing the average AUC |
getBestRFModel | Extracting the best performing Random Forest model |
lqvarFilter | Filtering 'low quality' variables from the original dataset |
mccv | mccv class |
mds | mds class |
meanCenter | Mean centering performed on the columns of the data (i.e.... |
optimizeMTRY | Mtry Optimization |
paretoscale | Pareto scaling method performed on the columns of the data... |
pca | Principal Component Analysis |
plotAUCvsCombinations | Plotting the average AUC as a function of the number of... |
plot.mccv | Plotting single or multiple ROC curves of the cross-validated... |
plot.mds | Multi-dimensional Scaling (MDS) Plot |
plotOOBvsMTRY | Plotting the average OOB error and its 95% confidence... |
plot.pca.loadings | PCA Loadings plot This function plots the relation between... |
plot.pca.scores | PCA Scores plot This function creates a plot that graphically... |
plotVarFreq | Variable Frequency Plot |
rfMCCV | Monte Carlo cross-validation of Random Forest models |
rfMCCVPerf | Extracting average accuracy and recall of a list of Random... |
rsd | Computing relative standard deviation of a vector |
rsdFilter | Filtering less informative variables |
screeplot | Scree Plot |
simpleData | simpleData |
tuneMTRY | Tuning of the mtry parameter for a Random Forest model |
tuneNTREE | Tuning of the ntree parameter (i.e. the number of trees) for... |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.