Package: BioPET 0.2.2

Jeremy Roth

BioPET: Biomarker Prognostic Enrichment Tool

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) <doi:10.1038/clpt.2010.233>). 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.

Authors:Jeremy Roth [cre, aut], Kathleen F. Kerr [aut], Kehao Zhu [aut]

BioPET_0.2.2.tar.gz
BioPET_0.2.2.tar.gz(r-4.5-noble)BioPET_0.2.2.tar.gz(r-4.4-noble)
BioPET_0.2.2.tgz(r-4.4-emscripten)BioPET_0.2.2.tgz(r-4.3-emscripten)
BioPET.pdf |BioPET.html
BioPET/json (API)

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

Peer review:

Datasets:
  • dcaData - Simulated dataset for package 'DecisionCurve'

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

1.00 score 3 scripts 182 downloads 1 mentions 3 exports 33 dependencies

Last updated 6 years agofrom:0e431c4827. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 28 2024
R-4.5-linuxOKOct 28 2024

Exports:enrichment_analysisenrichment_simulationplot_enrichment_summaries

Dependencies:clicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrpROCR6RColorBrewerRcpprlangscalestibbleutf8vctrsVGAMviridisLitewithr