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stapler: Simultaneous Truth and Performance Level Estimation

An implementation of Simultaneous Truth and Performance Level Estimation (STAPLE) <doi:10.1109/TMI.2004.828354>. This method is used when there are multiple raters for an object, typically an image, and this method fuses these ratings into one rating. It uses an expectation-maximization method to estimate this rating and the individual specificity/sensitivity for each rater.

Version: 0.7.1
Imports: matrixStats, RNifti
Suggests: knitr, rmarkdown, covr, testthat, spelling
Published: 2020-01-09
DOI: 10.32614/CRAN.package.stapler
Author: John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2 at gmail.com>
BugReports: https://github.com/muschellij2/stapler/issues
License: GPL-3
URL: https://github.com/muschellij2/stapler
NeedsCompilation: no
Language: en-US
Citation: stapler citation info
Materials: README NEWS
CRAN checks: stapler results

Documentation:

Reference manual: stapler.pdf
Vignettes: STAPLE Example

Downloads:

Package source: stapler_0.7.1.tar.gz
Windows binaries: r-devel: stapler_0.7.1.zip, r-release: stapler_0.7.1.zip, r-oldrel: stapler_0.7.1.zip
macOS binaries: r-release (arm64): stapler_0.7.1.tgz, r-oldrel (arm64): stapler_0.7.1.tgz, r-release (x86_64): stapler_0.7.1.tgz, r-oldrel (x86_64): stapler_0.7.1.tgz
Old sources: stapler archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=stapler 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.