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1.1.1.9000
Model list
All supported models
Linear Regression - lm()
Generalized Regression - glm()
Regularized Regression - glmnet()
Regularized Regression - LiblineaR()
Quantile Regression - rq()
Multinomial Regression - multinom()
Flexible Discriminant Analysis - fda()
Linear Discriminant Analysis - lda()
Quadratic Discriminant Analysis - qda()
Shrinkage Discriminant Analysis - sda()
Regularized Discriminant Analysis - sparsediscrim
Naive Bayes - NaiveBayes()
Partial Least Squares - mixOmics
Neural Network - nnet()
Support Vector Machine - kernlab - ksvm()
Random Forest - Ranger - ranger()
Random Forest - randomForest()
Random Forest - partykit - cforest()
Oblique Random Forest - aorsf - orsf()
Decision Tree - rpart()
Decision Tree - C5.0()
BART - bart()
Bagged Trees - bagger()
MARS - earth()
Cubist - cubist()
XGboost - xgb.Booster.complete()
LightGBM - lgb.Booster()
CatBoost - catboost.Model()
H2O GBM - H2OModel
Model-based Boosting - mboost - blackboost()
RuleFit - xrf - xrf()
Null Model - nullmodel()
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