The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

posc: Probability of Outcome Superiority Curves

Computes, plots and compares probability of outcome superiority curves (POSCs). For two people who differ by a given amount on a continuous predictor, a POSC gives the probability that the person with the higher predictor score also has the higher outcome, a probabilistic and decision-oriented alternative to reporting a correlation coefficient. Curves can be computed from a correlation under bivariate normality, from a correlation matrix for an optimally weighted composite of predictors, from a fitted linear model, or estimated directly from raw data with a flexible spline model and bootstrap confidence bands.

Version: 0.2.0
Depends: R (≥ 4.1.0)
Imports: ggplot2 (≥ 3.4.0), splines, stats, utils
Suggests: testthat (≥ 3.0.0)
Published: 2026-10-21
DOI: 10.32614/CRAN.package.posc
Author: Matthew B. Jané [aut, cre]
Maintainer: Matthew B. Jané <matthewbjane at gmail.com>
BugReports: https://github.com/MatthewBJane/posc/issues
License: MIT + file LICENSE
URL: https://matthewbjane.com/posc/, https://github.com/MatthewBJane/posc
NeedsCompilation: no
Citation: posc citation info
Materials: README, NEWS
CRAN checks: posc results

Documentation:

Reference manual: posc.html , posc.pdf

Downloads:

Package source: posc_0.2.0.tar.gz
Windows binaries: r-devel: posc_0.2.0.zip, r-release: posc_0.2.0.zip, r-oldrel: posc_0.2.0.zip
macOS binaries: r-release (arm64): posc_0.2.0.tgz, r-oldrel (arm64): posc_0.2.0.tgz, r-release (x86_64): posc_0.2.0.tgz, r-oldrel (x86_64): posc_0.2.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=posc to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.