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PTE (version 2.0)

Personalized Treatment Evaluator

Description

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?

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Version

Install

install.packages('PTE')

Monthly Downloads

251

Version

2.0

License

GPL-3

Issues

0

Pull Requests

0

Stars

1

Forks

0

Maintainer

Adam Kapelner

Last Published

July 27th, 2026

Functions in PTE (2.0)

PTE

Personalized Medicine Inference
plot.PTE_bootstrap_results

Plots a summary of the bootstrap samples
summary.PTE_bootstrap_results

Prints a summary of the model to the console
select_optimal_m_prop

Select an optimal m-out-of-n bootstrap resample size via the minimum volatility method
print.PTE_bootstrap_results

Prints a summary of the model to the console
survival_example

Mock RCT data with a survival endpoint
continuous_example

Mock RCT data with a continuous endpoint
PTE_bootstrap_inference

Bootstrap inference for a prespecified personalization / recommendation model