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optimalThreshold

1.0Package record

Bayesian Methods for Optimal Threshold Estimation

0packages depend
2.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Functions to estimate the optimal threshold of diagnostic markers or treatment selection markers. The optimal threshold is the marker value that maximizes the utility of the marker based-strategy (for diagnostic or treatment selection) in a given population. The utility function depends on the type of marker (diagnostic or treatment selection), but always takes into account the preferences of the patients or the physician in the decision process. For estimating the optimal threshold, ones must specify the distributions of the marker in different groups (defined according to the type of marker, diagnostic or treatment selection) and provides data to estimate the parameters of these distributions. Ones must also provide some features of the target populations (disease prevalence or treatment efficacies) as well as the preferences of patients or physicians. The functions rely on Bayesian inference which helps producing several indicators derived from the optimal threshold. See Blangero, Y, Rabilloud, M, Ecochard, R, and Subtil, F (2019) doi:10.1177/0962280218821394 for the original article that describes the estimation method for treatment selection markers and Subtil, F, and Rabilloud, M (2019) doi:10.1002/bimj.200900242 for diagnostic markers.

Install

Health

CRAN checks
13OK
Slowest check: 2.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
41 (1 internal)includes a package overview page
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.5K
CRAN downloads in the past year
Rank #22,578 · ~7/day · ~212/mo
Daily download trend is not available in this view yet.
20130 days
58890 days
2.5K1 year
Compare downloads with other packages →
Also on68 r2u1 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing optimalThreshold adds 4 packages (2 with compiled code, 187 KB of source tarballs). Heaviest: rjags 75 KB, coda 73 KB, HDInterval 29 KB.

Depends (1)
R >= 3.1.2
Imports (10)
arsrjagsHDIntervalmgcvutilscodagrDevicesmethodsstatsgraphics
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 1.0 (2020)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0Latest
    2020-01-13 · current release
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-01-13
Total releases
1 / 6 yrs
License
GPL (>= 2.0)
Minimum R
≥ 3.1.2
Download size
59 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("optimalThreshold")
Blangero, Y. (2020). optimalThreshold: Bayesian Methods for Optimal Threshold Estimation (Version 1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.optimalThreshold

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for optimalThreshold version 1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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