Package: PTE 1.7

PTE: Personalized Treatment Evaluator

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?

Authors:Adam Kapelner, Alina Levine & Justin Bleich

PTE_1.7.tar.gz
PTE_1.7.zip(r-4.5)PTE_1.7.zip(r-4.4)PTE_1.7.zip(r-4.3)
PTE_1.7.tgz(r-4.4-any)PTE_1.7.tgz(r-4.3-any)
PTE_1.7.tar.gz(r-4.5-noble)PTE_1.7.tar.gz(r-4.4-noble)
PTE_1.7.tgz(r-4.4-emscripten)PTE_1.7.tgz(r-4.3-emscripten)
PTE.pdf |PTE.html
PTE/json (API)

# Install 'PTE' in R:
install.packages('PTE', repos = c('https://kapelner.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.39 score 27 scripts 142 downloads 9 mentions 1 exports 7 dependencies

Last updated 6 years agofrom:c9d183e911. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-winNOTENov 25 2024
R-4.5-linuxNOTENov 25 2024
R-4.4-winNOTENov 25 2024
R-4.4-macNOTENov 25 2024
R-4.3-winNOTENov 25 2024
R-4.3-macNOTENov 25 2024

Exports:PTE_bootstrap_inference

Dependencies:codetoolsdoParallelforeachiteratorslatticeMatrixsurvival