R Packages that start with:
A . B . C . D . E . F . G . H . I . J . K . L . M . N . O . P . Q . R . S . T . U . V . W . X . Y . Z .
Functions
- categorical.predictive.power()
- confusion.matrix()
- contr.dummy()
- contr.metric()
- contr.ordinal()
- create.model()
- create.prediction()
- dummy.data.frame()
- general.indexes()
- get.default.parameters()
- get_test_less_predict()
- gg_color()
- importance.plot()
- max_col()
- numerical.predictive.power()
- numeric_to_predict()
- original_model()
- plot.prmdt()
- predict.ada.prmdt()
- predict.adabag.prmdt()
- predict.bayes.prmdt()
- predict.gbm.prmdt()
- predict.glm.prmdt()
- predict.glmnet.prmdt()
- predict.knn.prmdt()
- predict.lda.prmdt()
- predict.neuralnet.prmdt()
- predict.nnet.prmdt()
- predict.qda.prmdt()
- predict.randomForest.prmdt()
- predict.rpart.prmdt()
- predict.svm.prmdt()
- predict.xgb.Booster.prmdt()
- prediction.variable.balance()
- print.indexes.prmdt()
- print.prediction.prmdt()
- print.prmdt()
- ROC.area()
- ROC.plot()
- scaler()
- select_on_class()
- train.ada()
- train.adabag()
- train.bayes()
- train.gbm()
- train.glm()
- train.glmnet()
- train.knn()
- train.lda()
- train.neuralnet()
- train.nnet()
- train.qda()
- train.randomForest()
- train.rpart()
- train.svm()
- train.xgboost()
- traineR()
- type_correction()
- varplot()
R Codes
Selected R package: traineR
Click on the specific functions, references or examples using the links on the left
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