Reference

All functions
SDAM()	Spectrally Deconfounded Additive Models
SDForest()	Spectrally Deconfounded Random Forests
SDTree()	Spectrally Deconfounded Tree
copy(<SDForest>)	Copy a forest
copy(<SDTree>)	Copy a tree
cvSDTree()	Cross-validation for the SDTree
f_four()	Function of x on a fourier basis
fromList(<SDForest>)	SDForest fromList method
fromList(<SDTree>)	SDTree fromList method
get_Q()	Estimation of spectral transformation
get_W()	Estimation of anchor transformation
get_cp_seq(<SDForest>)	Get the sequence of complexity parameters of an SDForest
get_cp_seq(<SDTree>)	Get the sequence of complexity parameters of an SDTree
mergeForest()	Merge two forests
partDependence()	Partial dependence
plot(<SDTree>)	Plot SDTree
plot(<partDependence>)	Plot partial dependence
plot(<paths>)	Visualize the paths of an SDTree or SDForest
plotOOB()	Visualize the out-of-bag performance of an SDForest
predict(<SDAM>)	Predictions for SDAM
predict(<SDForest>)	Predictions for the SDForest
predict(<SDTree>)	Predictions for the SDTree
predictOOB()	Out-of-bag predictions for the SDForest
predict_individual_fj()	Predictions of individual component functions for SDAM
print(<SDAM>)	Print SDAM
print(<SDForest>)	Print SDForest
print(<SDTree>)	Print a SDTree
print(<partDependence>)	Print partDependence
prune(<SDForest>)	Prune an SDForest
prune(<SDTree>)	Prune an SDTree
regPath(<SDForest>)	Calculate the regularization path of an SDForest
regPath(<SDTree>)	Calculate the regularization path of an SDTree
simulate_data_nonlinear()	Simulate data with linear confounding and non-linear causal effect
simulate_data_step()	Simulate data with linear confounding and causal effect following a step-function
stabilitySelection(<SDForest>)	Calculate the stability selection of an SDForest
toList(<SDForest>)	SDForest toList method
toList(<SDTree>)	SDTree toList method
varImp(<SDAM>)	Extract Variable importance for SDAM
varImp(<SDForest>)	Extract variable importance of an SDForest
varImp(<SDTree>)	Extract variable importance of an SDTree