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-4.7-any)PTE_1.7.zip(r-4.6-any)PTE_1.7.zip(r-4.5-any)
PTE_1.7.tgz(r-4.6-any)PTE_1.7.tgz(r-4.5-any)
PTE_1.7.tar.gz(r-4.7-any)PTE_1.7.tar.gz(r-4.6-any)
PTE_1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
PTE/json (API)

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

On CRAN:

Conda:

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

2.47 score 33 scripts 240 downloads 9 mentions 1 exports 7 dependencies

Last updated from:c9d183e911. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE111
source / vignettesOK177
linux-release-x86_64NOTE116
macos-release-arm64NOTE121
macos-oldrel-arm64NOTE104
windows-develNOTE77
windows-releaseNOTE72
windows-oldrelNOTE78
wasm-releaseOK109

Exports:PTE_bootstrap_inference

Dependencies:codetoolsdoParallelforeachiteratorslatticeMatrixsurvival