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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.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 |
Please use the canonical form https://CRAN.R-project.org/package=PTE to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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