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 Documentation: Reference manual: PTE.html , PTE.pdf Downloads: 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 Linking:Please use the canonical form https://CRAN.R-project.org/package=PTE to link to this page.
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