R: Predictive (Classification and Regression) Models Homologator

# Predictive (Classification and Regression) Models Homologator

## Documentation for package ‘traineR’ version 2.2.12

- DESCRIPTION file

## Help Pages

traineR-package | Predictive (Classification and Regression) Models Homologator
categorical.predictive.power | categorical.predictive.power
confusion.matrix | confusion.matrix
contr.dummy | contr.dummy
contr.metric | contr.metric
contr.ordinal | contr.ordinal
general.indexes | general.indexes
importance.plot | importance.plot
numerical.predictive.power | numerical.predictive.power
plot.prmdt | Plotting prmdt models
predict.adabag.prmdt | predict.adabag.prmdt
predict.bayes.prmdt | predict.bayes.prmdt
predict.gbm.prmdt | predict.gbm.prmdt
predict.glm.prmdt | predict.glm.prmdt
predict.glmnet.prmdt | predict.glmnet.prmdt
predict.knn.prmdt | predict.knn.prmdt
predict.lda.prmdt | predict.lda.prmdt
predict.neuralnet.prmdt | predict.neuralnet.prmdt
predict.nnet.prmdt | predict.nnet.prmdt
predict.qda.prmdt | predict.qda.prmdt
predict.randomForest.prmdt | predict.randomForest.prmdt
predict.rpart.prmdt | predict.rpart.prmdt
predict.svm.prmdt | predict.svm.prmdt
predict.xgb.Booster.prmdt | predict.xgb.Booster
prediction.variable.balance | prediction.variable.balance
print.indexes.prmdt | Printing prmdt index object
print.prediction.prmdt | Printing prmdt prediction object
print.prmdt | Printing prmdt models
ROC.area | ROC.area
ROC.plot | ROC.plot
scaler | scaler
train.adabag | train.adabag
train.bayes | train.bayes
train.gbm | train.gbm
train.glm | train.glm
train.glmnet | train.glmnet
train.knn | train.knn
train.lda | train.lda
train.neuralnet | train.neuralnet
train.nnet | train.nnet
train.qda | train.qda
train.randomForest | train.randomForest
train.rpart | train.rpart
train.svm | train.svm
train.xgboost | train.xgboost
traineR | Predictive (Classification and Regression) Models Homologator