Evaluating Individualized Treatment Rules

Provides various statistical methods for evaluating Individualized Treatment Rules under randomized data. The provided metrics include Population Average Value (PAV), Population Average Prescription Effect (PAPE), Area Under Prescription Effect Curve (AUPEC). It also provides the tools to analyze Individualized Treatment Rules under budget constraints. Detailed reference in Imai and Li (2019) .


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install.packages("evalITR")

0.2.0 by Michael Lingzhi Li, 8 days ago


https://github.com/MichaelLLi/evalITR


Report a bug at https://github.com/MichaelLLi/evalITR/issues


Browse source code at https://github.com/cran/evalITR


Authors: Michael Lingzhi Li [aut, cre] , Kosuke Imai [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on stats

Suggests testthat


See at CRAN