Package: PTE
Type: Package
Title: Personalized Treatment Evaluator
Version: 1.7
Date: 2019-01-24
Author: Adam Kapelner, Alina Levine & Justin Bleich
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>
Description: We provide inference for personalized medicine models.
        Namely, we answer the questions: (1) how much better does a
        purported personalized recommendation engine for treatments do
        over a business-as-usual approach and (2) is that difference
        statistically significant?
License: GPL-3
Depends: R (>= 3.0)
Imports: foreach, parallel, doParallel, graphics, grDevices, stats,
        survival
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2026-06-07 09:50:44 UTC; root
Repository: https://kapelner.r-universe.dev
Date/Publication: 2019-01-30 23:03:19 UTC
RemoteUrl: https://github.com/cran/PTE
RemoteRef: HEAD
RemoteSha: c9d183e911686d7fc8b78cc918b3c8381ccae7d7