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?
| Version: |
2.0 |
| Depends: |
R (≥ 3.0) |
| Imports: |
foreach, parallel, doParallel, ggplot2, stats, survival, Rcpp, checkmate |
| LinkingTo: |
Rcpp, RcppEigen, RcppNumerical |
| Suggests: |
testthat (≥ 3.0.0), mirai |
| Published: |
2026-07-27 |
| DOI: |
10.32614/CRAN.package.PTE |
| Author: |
Adam Kapelner [aut, cre],
Alina Levine [aut],
Justin Bleich [aut] |
| Maintainer: |
Adam Kapelner <kapelner at qc.cuny.edu> |
| BugReports: |
https://github.com/kapelner/PTE/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/kapelner/PTE |
| NeedsCompilation: |
yes |
| Materials: |
ChangeLog |
| CRAN checks: |
PTE results |