{"id":32200925,"url":"https://github.com/seungjae2525/mrmcbinary","last_synced_at":"2026-07-13T19:32:23.101Z","repository":{"id":275161728,"uuid":"920657607","full_name":"seungjae2525/MRMCbinary","owner":"seungjae2525","description":"Multi-Reader Multi-Case Analysis of Binary Diagnostic Tests","archived":false,"fork":false,"pushed_at":"2026-03-23T14:27:49.000Z","size":121,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2026-06-06T02:10:12.199Z","etag":null,"topics":["binary-data","diagnostic-accuracy","mrmc"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/seungjae2525.png","metadata":{"files":{"readme":"README.md","changelog":"NEWS.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-01-22T14:48:59.000Z","updated_at":"2026-03-23T14:27:53.000Z","dependencies_parsed_at":null,"dependency_job_id":"fcc71f64-14c7-4a1e-86e3-99e38b13d417","html_url":"https://github.com/seungjae2525/MRMCbinary","commit_stats":null,"previous_names":["seungjae2525/mrmcbinary"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/seungjae2525/MRMCbinary","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/seungjae2525%2FMRMCbinary","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/seungjae2525%2FMRMCbinary/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/seungjae2525%2FMRMCbinary/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/seungjae2525%2FMRMCbinary/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/seungjae2525","download_url":"https://codeload.github.com/seungjae2525/MRMCbinary/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/seungjae2525%2FMRMCbinary/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":35434586,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-07-13T02:00:06.543Z","response_time":119,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["binary-data","diagnostic-accuracy","mrmc"],"created_at":"2025-10-22T03:57:22.241Z","updated_at":"2026-07-13T19:32:23.095Z","avatar_url":"https://github.com/seungjae2525.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MRMCbinary\n\n\u003c!-- badges: start --\u003e\n[![minimal R version](https://img.shields.io/badge/R-v4.2.0+-blue.svg)](https://cran.r-project.org/)\n[![CRAN status](https://www.r-pkg.org/badges/version/MRMCbinary)](https://CRAN.R-project.org/package=MRMCbinary)\n[![metacran downloads](https://cranlogs.r-pkg.org/badges/grand-total/MRMCbinary)](https://cran.r-project.org/package=MRMCbinary)\n[![Project Status](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active/)\n[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)\n[![R-CMD-check](https://github.com/seungjae2525/MRMCbinary/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/seungjae2525/MRMCbinary/actions/workflows/R-CMD-check.yaml)\n\u003c!-- badges: end --\u003e\n\n# Multi-Reader Multi-Case Analysis of Binary Diagnostic Tests\n\n## Description\nThis is the source code for the `MRMCbinary` package in R. \n`MRMCbinary` is a package aimed at comparing the diagnostic performance of different modalities (i.e., sensitivities and specificities) in multi-reader multi-case (MRMC) studies with binary diagnostic test results.\n \n### Reference\nLee, S., Jang, S., and Lee, W. Evaluating Diagnostic Accuracy of Binary Medical Tests in Multi-Reader Multi-Case Study. Statistics in Medicine. 45(6-7). e70471. https://doi.org/10.1002/sim.70471\n\n## Installation\n### The latest release version from CRAN:\n\n```r\ninstall.packages(\"MRMCbinary\")\nlibrary(MRMCbinary)\n```\n\n### Current GitHub release:\nInstallation using R package `devtools`:\n\n```r\nif (!require(\"devtools\")) { install.packages(\"devtools\") } # if devtools not already installed\ndevtools::install_github(\"seungjae2525/MRMCbinary\")\nlibrary(MRMCbinary)\n```\n\n## Example\nThis is a basic example which shows you how to use `MRMCbinary` package:\n\n``` r\n## Load MRMCbinary package\nlibrary(MRMCbinary)\n\n## Load example data\ndata(VanDyke)\n\n## Return the first parts of an object\nhead(VanDyke)\n\n## Extract unique modalities\nunique(VanDyke$treatment)\n\n## Extract Unique readers\nunique(VanDyke$reader)\n\n## Create binary test results (Y_ijk)\nVanDyke$Y \u003c- as.numeric(VanDyke$rating \u003e= 3)\n\n## Example usage of MRMCbinary function:\n# When comparing the sensitivities and specificities between modalities\nmodality_result \u003c- MRMCbinary(data = VanDyke, Modality = treatment, Reader = reader,\n                              Case = case, D = truth, Y = Y, measure = \"All\",\n                              effect = \"Modality\", interaction = NULL,\n                              reference.Modality = \"1\", reference.Reader = NULL)\nprint(modality_result)\nsummary(modality_result, digits = 3)\n\n# When comparing the sensitivities between modalities\n#  The warning appears because the input data contain non-diseased cases (D = 0),\n#  but analysis is performed using only diseased cases (D = 1)\nmodality_sens_result \u003c- MRMCbinary(data = VanDyke, Modality = treatment, Reader = reader,\n                                   Case = case, D = truth, Y = Y, measure = \"Sensitivity\",\n                                   effect = \"Modality\", interaction = NULL,\n                                   reference.Modality = \"1\", reference.Reader = NULL)\nprint(modality_sens_result)\nsummary(modality_sens_result, digits = 3)\n\n# When comparing the specificities between modalities\n#  The warning appears because the input data contain diseased cases (D = 1),\n#  but analysis is performed using only non-diseased cases (D = 0)\nmodality_spec_result \u003c- MRMCbinary(data = VanDyke, Modality = treatment, Reader = reader,\n                                   Case = case, D = truth, Y = Y, measure = \"Specificity\",\n                                   effect = \"Modality\", interaction = NULL,\n                                   reference.Modality = \"1\", reference.Reader = NULL)\nprint(modality_spec_result)\nsummary(modality_spec_result, digits = 3)\n\n# When comparing the sensitivities and specificities between readers\nreader_result \u003c- MRMCbinary(data = VanDyke, Modality = treatment, Reader = reader,\n                            Case = case, D = truth, Y = Y, measure = \"All\", \n                            effect = \"Reader\", interaction = NULL,\n                            reference.Modality = NULL, reference.Reader = \"1\")\nprint(reader_result)\nsummary(reader_result, digits = 3)\n\n# When comparing the sensitivities and specificities between modalities and between readers together\n#  not considering interaction between modalities and readers\nboth_result_wo_int \u003c- MRMCbinary(data = VanDyke, Modality = treatment, Reader = reader,\n                                 Case = case, D = truth, Y = Y, measure = \"All\", \n                                 effect = \"Both\", interaction = FALSE,\n                                 reference.Modality = \"1\", reference.Reader = \"1\")\nprint(both_result_wo_int)\nsummary(both_result_wo_int, digits = 3)\n\n# When comparing the sensitivities and specificities between modalities and between readers together\n#  considering interaction between modalities and readers\nboth_result_with_int \u003c- MRMCbinary(data = VanDyke, Modality = treatment, Reader = reader,\n                                   Case = case, D = truth, Y = Y, measure = \"All\", \n                                   effect = \"Both\", interaction = TRUE,\n                                   reference.Modality = \"1\", reference.Reader = \"1\")\nprint(both_result_with_int)\nsummary(both_result_with_int, digits = 3)\n```\n\n### Bug Reports:\nYou can also report bugs on GitHub under [Issues](https://github.com/seungjae2525/MRMCbinary/issues/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fseungjae2525%2Fmrmcbinary","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fseungjae2525%2Fmrmcbinary","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fseungjae2525%2Fmrmcbinary/lists"}