Package: evalITR
Version: 0.3.0
Date: 2022-03-27
Title: Evaluating Individualized Treatment Rules
Authors@R: c(
  person("Michael Lingzhi", "Li", , "mlli@mit.edu", c("aut", "cre")),
  person("Kosuke", "Imai", , "imai@harvard.edu", c("aut"))
  )
Maintainer: Michael Lingzhi Li <mlli@mit.edu>
Depends: stats, MASS (>= 7.0), quadprog (>= 1.0), Matrix (>= 1.0),
        dplyr (>= 1.0), R (>= 3.5.0)
Description: 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) <arXiv:1905.05389>.
License: GPL (>= 2)
URL: https://github.com/MichaelLLi/evalITR
BugReports: https://github.com/MichaelLLi/evalITR/issues
RoxygenNote: 7.1.2
Encoding: UTF-8
Suggests: testthat
NeedsCompilation: no
Packaged: 2022-03-28 05:37:06 UTC; shazn
Author: Michael Lingzhi Li [aut, cre],
  Kosuke Imai [aut]
Repository: CRAN
Date/Publication: 2022-03-29 06:30:02 UTC
Built: R 4.1.2; ; 2022-03-30 12:11:05 UTC; unix
