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PTE
View on CRAN: Click
here
Download and install PTE package within the R console
Install from CRAN:
install.packages("PTE")
Install from Github:
library("remotes")
install_github("cran/PTE")
Install by package version:
library("remotes")
install_version("PTE", "1.7")
Attach the package and use:
library("PTE")
Maintained by
Adam Kapelner
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-05-01
Latest Update: 2019-01-31
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?
How to cite:
Adam Kapelner (2014). PTE: Personalized Treatment Evaluator. R package version 1.7, https://cran.r-project.org/web/packages/PTE. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other R packages that PTE depends,
imports, suggests or enhances
Complete documentation for PTE
Functions, R codes and Examples using
the PTE R package
Some associated functions: PTE . PTE_bootstrap_inference . continuous_example . plot.PTE_bootstrap_results . print.PTE_bootstrap_results . summary.PTE_bootstrap_results . survival_example .
Some associated R codes: PTE.R . bootstrap_inference.R . create_PTE_results_object.R . create_cutoffs_for_K_fold_cv.R . create_raw_results_matrix.R . plot.R . print_and_summary.R . run_model_on_left_out_record_results_and_cleanup.R . zzz.R . Full PTE package functions and examples
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