Package index
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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 and Utilities
Inspect fitted models, variable importance, kernels, and survival bands.
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importance() - Variable Importance Summary
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print(<importance.RLT>) - Print Importance Summary
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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