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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 |
Reference manual: | stapler.pdf |
Vignettes: |
STAPLE Example |
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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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.
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