apply.tree |
Applies a fast and frugal tree to a dataset. |
auc |
Calculates AUC (Area under the Curve) using trapezoidal approximation |
bank |
A bank marketing dataset |
blood |
Blood donation dataset |
breastcancer |
Dataset: Physiological dataset for 699 patients tested for breast cancer. |
car |
Car acceptability data |
classtable |
Calculates several classification statistics from binary prediction and criterion (e.g.; truth) vectors |
comp.pred |
Wrapper for classfication algorithms |
contraceptive |
Contraceptive use data |
creditapproval |
Credit approval data |
cuerank |
Calculate the marginal accuracy of all cues in a dataframe. For each cue, the threshold that maximizes the criterion is selected. |
factclean |
Does miscellaneous cleaning of prediction datasets |
fertility |
Fertility data set |
FFForest |
Creates a forest of fast and frugal decision trees |
FFTrees |
Creates a Fast and Frugal Trees (FFTrees) object. |
FFTrees.guide |
Opens the FFTrees package guide |
forestfires |
forestfires |
grow.FFTrees |
Grows fast and frugal trees using an algorithm specified by 'algorithm'. |
heartdisease |
Heart disease dataset |
income |
Income dataset |
iris.v |
Iris data set |
mushrooms |
Mushrooms dataset |
plot.FFForest |
Creates a network plot. Code taken from Dirk Wulff (www.dirkwulff.org) |
plot.FFTrees |
Draws a FFTrees object. |
predict.FFForest |
Predict outcoms from a test dataset using an FFForest object |
predict.FFTrees |
Predict new data from an FFTrees x |
print.FFForest |
Prints summary information from an FFForest x |
print.FFTrees |
Prints summary information from an FFTrees x |
showcues |
Visualizes cue accuracies from an FFTrees object in a ROC space |
sonar |
Sonar data set |
summary.FFTrees |
Returns a summary of an fft object |
titanic |
Titanic dataset |
voting |
Voting data set |
wine |
Wine tasting dataset |