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MRMCaov: R package for multi-reader multi-case analysis of variance
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brian-j-smith/MRMCaov
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MRMCaov is an R package for statistical comparison of diagnostictests - such as those based on medical imaging - for which ratings havebeen obtained from multiple readers and on multiple cases. Features ofthe package include the following.
- Statistical comparisons of diagnostic tests with respect to readerperformance metrics
- Comparisons based on the ANOVA model of Obuchowski-Rockette and theunified framework of Hillis
- Reader performance metrics for area under receiver operatingcharacteristic curves (ROC AUCs), partial AUCs, expected utility ofROC curves, likelihood ratio of positive or negative tests,sensitivity, specificity, and user-defined metrics
- Parametric and nonparametric estimation and plotting of ROC curves
- Support for factorial, nested, and partially paired study designs
- Inference for random or fixed readers and cases
- Conversion of Obuchowski-Rockette to Roe, Metz & Hillis modelparameters and vice versa
- DeLong, jackknife, and unbiased covariance estimation
- Compatibility with Microsoft Windows, MacOS, and Linux
Documentation:User Guide
Enter the following at the R console to install the package.
install.packages("MRMCaov")## Text formatcitation("MRMCaov")
To cite MRMCaov in publications, please use the following two references, including the R package URL. Smith BJ, Hillis SL, Pesce LL (2023). _MCMCaov: Multi-Reader Multi-Case Analysis of Variance_. R package version 0.3.0, <https://cran.r-project.org/package=MRMCaov>. Smith BJ, Hillis SL (2020). "Multi-reader multi-case analysis of variance software for diagnostic performance comparison of imaging modalities." In Samuelson F, Taylor-Phillips S (eds.), _Proceedings of SPIE 11316, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment_, 113160K. doi:10.1117/12.2549075 <https://doi.org/10.1117/12.2549075>, <https://pubmed.ncbi.nlm.nih.gov/32351258>.To see these entries in BibTeX format, use 'print(<citation>, bibtex=TRUE)', 'toBibtex(.)', or set'options(citation.bibtex.max=999)'.## Bibtex formattoBibtex(citation("MRMCaov"))
@Manual{MRMCaov-package, author = {Brian J Smith and Stephen L Hillis and Lorenzo L Pesce}, title = {{MCMCaov}: Multi-Reader Multi-Case Analysis of Variance}, year = {2023}, note = {R package version 0.3.0}, url = {https://cran.r-project.org/package=MRMCaov},}@InProceedings{MRMCaov-SPIE2020, author = {Brian J. Smith and Stephen L. Hillis}, title = {Multi-reader multi-case analysis of variance software for diagnostic performance comparison of imaging modalities}, booktitle = {Proceedings of SPIE 11316, Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment}, editor = {Frank Samuelson and Sian Taylor-Phillips}, month = {16 March}, year = {2020}, pages = {113160K}, doi = {10.1117/12.2549075}, url = {https://pubmed.ncbi.nlm.nih.gov/32351258},}About
MRMCaov: R package for multi-reader multi-case analysis of variance
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