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BioPET
View on CRAN: Click
here
Download and install BioPET package within the R console
Install from CRAN:
install.packages("BioPET")
Install from Github:
library("remotes")
install_github("cran/BioPET")
Install by package version:
library("remotes")
install_version("BioPET", "0.2.2")
Attach the package and use:
library("BioPET")
Maintained by
Jeremy Roth
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.BioPET . BioPET results . BioPET.pdf . BioPET_0.2.2.tar.gz . BioPET_0.2.2.zip . BioPET_0.2.2.zip . BioPET_0.2.2.zip . BioPET_0.2.2.tgz . BioPET_0.2.2.tgz . BioPET_0.2.2.tgz . BioPET_0.2.2.tgz . BioPET_0.2.2.tgz . BioPET_0.2.2.tgz . BioPET archive . https://CRAN.R-project.org/package=BioPET .
First Published: 2016-07-02
Latest Update: 2018-07-17
Description:
Prognostic Enrichment is a clinical trial strategy of evaluating an intervention in a patient population with a higher rate of the unwanted event than the broader patient population (R. Temple (2010) ). A higher event rate translates to a lower sample size for the clinical trial, which can have both practical and ethical advantages. This package is a tool to help evaluate biomarkers for prognostic enrichment of clinical trials.
How to cite:
Jeremy Roth (2016). BioPET: Biomarker Prognostic Enrichment Tool. R package version 0.2.2, https://cran.r-project.org/web/packages/BioPET. Accessed 04 Apr. 2025.
Previous versions and publish date:
Other packages that cited BioPET R package
View BioPET citation profile
Other R packages that BioPET depends,
imports, suggests or enhances
Complete documentation for BioPET
Functions, R codes and Examples using
the BioPET R package
Some associated functions: dcaData . enrichment_analysis . enrichment_simulation . plot_enrichment_summaries .
Some associated R codes: data.R . enrichment_analysis.R . enrichment_simulation.R . plot_enrichment_summaries.R . sample_size.R . Full BioPET package functions and examples
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