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Core Modeling Functions

Fit, predict, and print RLT models.

RLT()
Reinforcement Learning Trees
predict(<RLT>)
prediction using RLT
print(<RLT>)
Print a RLT object

Model Analysis and Utilities

Inspect fitted models, variable importance, kernels, and survival bands.

importance()
Variable Importance Summary
print(<importance.RLT>)
Print Importance Summary
forest.kernel()
random forest kernel
get.one.tree()
Print a single tree
get.surv.band()
get.surv.band
cindex()
C-index