MRMCaov: Multi-Reader Multi-Case Analysis of Variance
Description
MRMCaov is an R package for statistical comparison of diagnostic tests - such as those based on medical imaging - for which ratings have been obtained from multiple readers and on multiple cases. Features of the package include the following.
- Comparison of imaging modalities or diagnostic tests with respect to ROC metrics
- ROC metrics include AUC, partial AUC, sensitivity, specificity, and expected utility as well as user-defined metrics
- Parametric and nonparametric estimation and plotting of ROC curves
- Support for factorial and nested study designs
- DeLong, jackknife, and unbiased covariance estimation
- Inference for random or fixed readers and cases
- Conversion of Obuchowski-Rockette to Roe, Metz & Hillis model parameters and vice versa.
- Compatibility with Microsoft Windows and Linux
Documentation: User Guide
Download and Installation
To install the package, do the following:
- Download the archive file for your operating system from the links provided in the table below.
- Run RStudio.
- Click on “Tools” from the RStudio menu and then select “Install Packages…” to bring up the “Install Packages” dialog box.
- From the dialog box, select “Package Archive File (.zip; .tar.gz)” as the source from which to install, and browse to and select the downloaded package archive file.
- Install the packages below with the given command submitted at the R console, if they have not been installed previously.
install.packages(c("ggplot2", "gtools", "mvtnorm", "pROC", "tibble"))| Operating System | Package Archive File |
|---|---|
| Microsoft Windows: | MRMCaov_0.2.1.zip |
| Linux: | MRMCaov_0.2.1.tar.gz |
Citing the Software
## Text format
citation("MRMCaov")To cite MRMCaov in publications, please use the following two references, including the R package URL.
Smith BJ, Hillis SL, Pesce LL (2022). _MCMCaov: Multi-Reader Multi-Case Analysis of Variance_. R
package version 0.2.1, <URL: https://github.com/brian-j-smith/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: 10.117/12.2549075 (URL: https://doi.org/10.117/12.2549075), <URL:
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 format
toBibtex(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 = {2022},
note = {R package version 0.2.1},
url = {https://github.com/brian-j-smith/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 = {10.117/12.2549075},
url = {https://pubmed.ncbi.nlm.nih.gov/32351258},
}
