Package index
Core Modeling Functions
Main functions used for building, predicting, and presenting RLT models. These are the most commonly used in the workflow.
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RLT() Reinforcement Learning Trees
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predict(<RLT>) - prediction using RLT
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print(<RLT>) - Print a RLT object
Model Analysis & Utilities
Auxiliary functions for evaluating, interpreting, and analyzing fitted models.
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forest.kernel() random forest kernel
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get.one.tree() - Print a single tree
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get.surv.band() get.surv.band
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cindex() - C-index
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mytest() - mytest