Package: MRMCbinary 1.0.5

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

The goal of 'MRMCbinary' is to compare the performance of diagnostic tests (i.e., sensitivity and specificity) for binary outcomes in multi-reader multi-case (MRMC) studies. It is based on conditional logistic regression and Cochran’s Q test (or McNemar’s test when the number of modalities is equal to 2).

Authors:Seungjae Lee [aut, cre], Woojoo Lee [aut]

MRMCbinary_1.0.5.tar.gz
MRMCbinary_1.0.5.zip(r-4.5)MRMCbinary_1.0.4.zip(r-4.4)MRMCbinary_1.0.4.zip(r-4.3)
MRMCbinary_1.0.5.tgz(r-4.5-any)MRMCbinary_1.0.4.tgz(r-4.4-any)MRMCbinary_1.0.4.tgz(r-4.3-any)
MRMCbinary_1.0.5.tar.gz(r-4.5-noble)MRMCbinary_1.0.5.tar.gz(r-4.4-noble)
MRMCbinary_1.0.5.tgz(r-4.4-emscripten)MRMCbinary_1.0.5.tgz(r-4.3-emscripten)
MRMCbinary.pdf |MRMCbinary.html✨
MRMCbinary/json (API)
NEWS

# Install 'MRMCbinary' in R:
install.packages('MRMCbinary', repos = c('https://seungjae2525.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/seungjae2525/mrmcbinary/issues

Datasets:
  • VanDyke - Multi-reader multi-case dataset

On CRAN:

Conda:

binary-datadiagnostic-accuracymrmc

3.18 score 1 stars 160 downloads 2 exports 55 dependencies

Last updated 24 days agofrom:a9b54475ff. Checks:4 OK, 4 FAILURE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-winOKFeb 20 2025
R-4.5-macOKFeb 20 2025
R-4.5-linuxOKFeb 20 2025
R-4.4-winOUTDATEDFeb 05 2025
R-4.4-macOUTDATEDFeb 05 2025
R-4.3-winOUTDATEDFeb 05 2025
R-4.3-macOUTDATEDFeb 05 2025

Exports:MRMCbinarySensSpec

Dependencies:askpassbitbit64bootcellrangerclassclicliprcpp11crayoncurldata.tableDescToolse1071ExactexpmfansiforcatsgldgluehavenhmshttrjsonlitelatticelifecyclelmommagrittrMASSMatrixmimemvtnormopensslpillarpkgconfigprettyunitsprogressproxyR6RcppreadrreadxlrematchrlangrootSolverstudioapisurvivalsystibbletidyselecttzdbutf8vctrsvroomwithr