High-Performance Open-Source Archive
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 |
| Reference manual: | PTE.html , PTE.pdf |
| Package source: | PTE_2.0.tar.gz |
| Windows binaries: | r-devel: PTE_1.7.zip, r-release: PTE_2.0.zip, r-oldrel: PTE_1.7.zip |
| macOS binaries: | r-release (arm64): PTE_2.0.tgz, r-oldrel (arm64): PTE_2.0.tgz, r-release (x86_64): PTE_2.0.tgz, r-oldrel (x86_64): PTE_2.0.tgz |
| Old sources: | PTE archive |
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