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

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