Package: evalITR Title: Evaluating Individualized Treatment Rules Version: 1.0.0 Date: 2023-08-20 Authors@R: c( person("Michael Lingzhi", "Li", , "mili@hbs.edu", role = c("aut", "cre")), person("Kosuke", "Imai", , "imai@harvard.edu", role = "aut"), person("Jialu", "Li", , "jialu_li@g.harvard.edu", role = "ctb"), person("Xiaolong", "Yang", , "xiaolong_yang@g.harvard.edu", role = "ctb") ) Maintainer: Michael Lingzhi Li 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) . License: GPL (>=2) URL: https://github.com/MichaelLLi/evalITR, https://michaellli.github.io/evalITR/, https://jialul.github.io/causal-ml/ BugReports: https://github.com/MichaelLLi/evalITR/issues Depends: dplyr (>= 1.0), MASS (>= 7.0), Matrix (>= 1.0), quadprog (>= 1.0), R (>= 3.5.0), stats Imports: caret, cli, e1071, forcats, gbm, ggdist, ggplot2, ggthemes, glmnet, grf, haven, purrr, rlang, rpart, rqPen, scales, utils, bartCause, SuperLearner Suggests: doParallel, furrr, knitr, rmarkdown, testthat, bartMachine, elasticnet, randomForest, spelling VignetteBuilder: knitr Encoding: UTF-8 LazyData: true RoxygenNote: 7.2.2 Language: en-US Config/pak/sysreqs: make libicu-dev libx11-dev zlib1g-dev Repository: https://michaellli.r-universe.dev Date/Publication: 2023-08-26 03:43:51 UTC RemoteUrl: https://github.com/michaellli/evalitr RemoteRef: HEAD RemoteSha: 50d68e9c985738aa7a1cb982545bba3255390482 NeedsCompilation: no Packaged: 2026-07-05 08:31:46 UTC; root Author: Michael Lingzhi Li [aut, cre], Kosuke Imai [aut], Jialu Li [ctb], Xiaolong Yang [ctb]