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Tool for discovery of risk controlled individualized treatment rule via decision trees and random forests

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rcITR

rcITR is an R package for estimating risk-controlled individualized treatment rules (rcITR). An rcITR seeks to maximize the expected benefit (or reward) while controlling risk at a pre-specified threshold. Two modeling approaches are available:

  • rcDT (Risk-Controlled Decision Tree): Single decision tree model
  • rcRF (Risk-Controlled Random Forest): Ensemble of rcDT models

Detailed documentation can be found here

Installation

devtools::install_github("kdoub5ha/rcITR")

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Tool for discovery of risk controlled individualized treatment rule via decision trees and random forests

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