traineR-package	traineR
categorical.predictive.power	categorical.predictive.power
confusion.matrix	confusion.matrix
contr.dummy	contr.dummy
contr.metric	contr.metric
contr.ordinal	contr.ordinal
create.model	create.model
create.prediction	create.prediction
dummy.data.frame	dummy.data.frame
general.indexes	general.indexes
get.default.parameters	get.default.parameters
get_test_less_predict	get_test_less_predict
gg_color	gg_color
importance.plot	importance.plot
max_col	max_col
numerical.predictive.power	numerical.predictive.power
numeric_to_predict	numeric_to_predict
original_model	original_model
plot.prmdt	plot.prmdt
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.prmdt
prediction.variable.balance	prediction.variable.balance
print.indexes.prmdt	print.indexes.prmdt
print.prediction.prmdt	print.prediction.prmdt
print.prmdt	print.prmdt
ROC.area	ROC.area
ROC.plot	ROC.plot
scaler	scaler
select_on_class	select_on_class
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	traineR
type_correction	type_correction
