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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 |
| 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.
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