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:
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-4.5-any)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')) |
- continuous_example - Mock RCT data with a continuous endpoint.
- survival_example - Mock RCT data with a survival endpoint.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:c9d183e911. Checks:1 OK, 7 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 23 2025 |
| R-4.5-win | NOTE | Feb 23 2025 |
| R-4.5-mac | NOTE | Feb 23 2025 |
| R-4.5-linux | NOTE | Feb 23 2025 |
| R-4.4-win | NOTE | Feb 23 2025 |
| R-4.4-mac | NOTE | Feb 23 2025 |
| R-4.3-win | NOTE | Feb 23 2025 |
| R-4.3-mac | NOTE | Feb 23 2025 |
Exports:PTE_bootstrap_inference
Dependencies:codetoolsdoParallelforeachiteratorslatticeMatrixsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Mock RCT data with a continuous endpoint. | continuous_example |
| Plots a summary of the bootstrap samples. | plot.PTE_bootstrap_results |
| Prints a summary of the model to the console | print.PTE_bootstrap_results |
| Personalized Medicine Inference | PTE-package PTE |
| Bootstrap inference for a prespecified personalization / recommendation model | PTE_bootstrap_inference |
| Prints a summary of the model to the console | summary.PTE_bootstrap_results |
| Mock RCT data with a survival endpoint. | survival_example |
