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MRMCbinary: Multi-Reader Multi-Case Analysis of Binary Diagnostic Tests

Implements methods for comparing sensitivities and specificities in balanced (or fully crossed) multi-reader multi-case (MRMC) studies with binary diagnostic test results. It implements conditional logistic regression and provides score tests equivalent to Cochran's Q test (which corresponds to McNemar's test when comparing two modalities only). The methodology is based on Lee et al. (2026) <doi:10.1002/sim.70471>.

Version: 1.0.6
Depends: R (≥ 4.2.0)
Imports: DescTools, stats, survival (≥ 3.8-1)
Published: 2026-03-23
DOI: 10.32614/CRAN.package.MRMCbinary
Author: Seungjae Lee ORCID iD [aut, cre], Woojoo Lee ORCID iD [aut]
Maintainer: Seungjae Lee <seungjae2525 at gmail.com>
BugReports: https://github.com/seungjae2525/MRMCbinary/issues
License: MIT + file LICENSE
URL: https://github.com/seungjae2525/MRMCbinary
NeedsCompilation: no
Materials: NEWS
CRAN checks: MRMCbinary results

Documentation:

Reference manual: MRMCbinary.html , MRMCbinary.pdf

Downloads:

Package source: MRMCbinary_1.0.6.tar.gz
Windows binaries: r-devel: MRMCbinary_1.0.6.zip, r-release: MRMCbinary_1.0.6.zip, r-oldrel: MRMCbinary_1.0.6.zip
macOS binaries: r-release (arm64): MRMCbinary_1.0.6.tgz, r-oldrel (arm64): MRMCbinary_1.0.5.tgz, r-release (x86_64): MRMCbinary_1.0.6.tgz, r-oldrel (x86_64): MRMCbinary_1.0.6.tgz
Old sources: MRMCbinary archive

Linking:

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