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iMRMC
View on CRAN: Click
here
Download and install iMRMC package within the R console
Install from CRAN:
install.packages("iMRMC")
Install from Github:
library("remotes")
install_github("cran/iMRMC")
Install by package version:
library("remotes")
install_version("iMRMC", "2.1.0")
Attach the package and use:
library("iMRMC")
Maintained by
Brandon Gallas
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.iMRMC . https://github.com/DIDSR/iMRMC . https://CRAN.R-project.org/package=iMRMC . iMRMC results . iMRMC.pdf . iMRMC_2.1.0.tar.gz . iMRMC_2.1.0.zip . iMRMC_2.1.0.zip . iMRMC_2.1.0.zip . iMRMC_2.1.0.tgz . iMRMC_2.1.0.tgz . iMRMC_2.1.0.tgz . iMRMC_2.1.0.tgz . iMRMC_2.1.0.tgz . iMRMC_2.1.0.tgz . iMRMC archive . https://CRAN.R-project.org/package=iMRMC .
First Published: 2017-12-12
Latest Update: 2023-05-15
Description:
Do Multi-Reader, Multi-Case (MRMC) analyses of data from imaging studies where clinicians (readers)
evaluate patient images (cases). What does this mean? ... Many imaging studies are designed
so that every reader reads every case in all modalities, a fully-crossed study. In this case, the
data is cross-correlated, and we consider the readers and cases to be cross-correlated random effects.
An MRMC analysis accounts for the variability and correlations from the readers and cases when
estimating variances, confidence intervals, and p-values. The functions in this package can treat
arbitrary study designs and studies with missing data, not just fully-crossed study designs.
The initial package analyzes the reader-average area under the receiver operating characteristic (ROC)
curve with U-statistics according to Gallas, Bandos, Samuelson,
and Wagner 2009 .
Additional functions analyze other endpoints with U-statistics (binary performance
and score differences) following the work by Gallas, Pennello, and Myers 2007
.
Package development and documentation is at .
How to cite:
Brandon Gallas (2017). iMRMC: Multi-Reader, Multi-Case Analysis Methods (ROC, Agreement, and Other Metrics). R package version 2.1.0, https://cran.r-project.org/web/packages/iMRMC. Accessed 11 Apr. 2025.
Previous versions and publish date:
Other packages that cited iMRMC R package
View iMRMC citation profile
Other R packages that iMRMC depends,
imports, suggests or enhances
Complete documentation for iMRMC
Functions, R codes and Examples using
the iMRMC R package
Some associated functions: convertDF . convertDFtoDesignMatrix . convertDFtoScoreMatrix . createGroups . createIMRMCdf . doIMRMC . extractPairedComparisonsBRBM . extractPairedComparisonsWRBM . getBRBM . getMRMCscore . getWRBM . init.lecuyerRNG . laBRBM . laWRBM . renameCol . roc2binary . roeMetzConfigs . sim.gRoeMetz.config . sim.gRoeMetz . simMRMC . simRoeMetz.example . successDFtoROCdf . uStat11.diff . uStat11.identity . uStat11 . undoIMRMCdf .
Some associated R codes: iMRMC.R . limitsOfAgreement.R . simMRMC.R . uStats.R . utils.R . Full iMRMC package functions and examples
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