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: | 1.7 |
| Depends: | R (≥ 3.0) |
| Imports: | foreach, parallel, doParallel, graphics, grDevices, stats, survival |
| Published: | 2019-01-31 |
| DOI: | 10.32614/CRAN.package.PTE |
| Author: | Adam Kapelner, Alina Levine & Justin Bleich |
| Maintainer: | Adam Kapelner <kapelner at qc.cuny.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| CRAN checks: | PTE results |
| Reference manual: | PTE.html , PTE.pdf |
| Package source: | PTE_1.7.tar.gz |
| Windows binaries: | r-devel: PTE_1.7.zip, r-release: PTE_1.7.zip, r-oldrel: PTE_1.7.zip |
| macOS binaries: | r-release (arm64): PTE_1.7.tgz, r-oldrel (arm64): PTE_1.7.tgz, r-release (x86_64): PTE_1.7.tgz, r-oldrel (x86_64): PTE_1.7.tgz |
| Old sources: | PTE archive |
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