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) .


Reference manual

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0.2.2 by Michael Lingzhi Li, 2 months ago


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