2. Currently Supported Models

Current Models

The currently supported models deal with regression and classification. This page will list them.

Package	Algorithm	Working	Package
earth	bag_mars	Yes	`earth`
bag_mars	rpart	Yes	`earth`
rpart	bag_tree	Yes	`rpart`
dbarts	bart	Yes	`dbarts`
lightgbm	boost_tree	Yes	`lightgbm`
xgboost	boost_tree	Yes	`xgboost`
Cubist	cubist_rules	Yes	`Cubist`
partykit	decision_tree	Yes	`partykit`
rpart	decision_tree	Yes	`rpart`
mgcv	gen_additive_mod	No see roadmap	`mgcv`
brulee	linear_reg	No see roadmap	`brulee`
gee	linear_reg	Yes	`multilevelmod`
glm	linear_reg	Yes	`stats`
glmer	linear_reg	No see roadmap	`multilevelmod`
glmnet	linear_reg	No see roadmap	`glmnet`
gls	linear_reg	Yes	`multilevelmod`
lm	linear_reg	Yes	`stats`
lme	linear_reg	No see roadmap	`multilevelmod`
lmer	linear_reg	No see roadmap	`multilevelmod`
stan	linear_reg	Yes	`rstan`
stan_glmer	linear_reg	No see roadmap	`multilevelmod`
earth	mars	Yes	`earth`
brulee	mlp	No see roadmap	`brulee`
nnet	mlp	Yes	`nnet`
kknn	nearest_neighbor	Yes	`kknn`
gee	poisson_reg	No see roadmap	`multilevelmod`
glm	poisson_reg	Yes	`poissonreg`
glmer	poisson_reg	No see roadmap	`multilevelmod`
glmnet	poisson_reg	No see roadmap	`poissonreg`
hurdle	poisson_reg	No see roadmap	`poissonreg`
stan	poisson_reg	No see roadmap	`poissonreg`
stan_glmer	poisson_reg	No see roadmap	`multilevelmod`
zeroinfl	poisson_reg	No see roadmap	`poissonreg`
randomForest	rand_forest	Yes	`randomForest`
ranger	rand_forest	Yes	`ranger`
xrf	rule_fit	Yes	`xrf`
LiblineaR	svm_linear	Yes	`LiblineaR`
kernlab	svm_linear	Yes	`kernlab`
kernlab	svm_poly	Yes	`kernlab`
kernlab	svm_rbf	Yes	`kernlab`