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MRMCaov  

Multi-Reader Multi-Case Analysis of Variance
View on CRAN: Click here


Download and install MRMCaov package within the R console
Install from CRAN:
install.packages("MRMCaov")

Install from Github:
library("remotes")
install_github("cran/MRMCaov")

Install by package version:
library("remotes")
install_version("MRMCaov", "0.3.0")



Attach the package and use:
library("MRMCaov")
Maintained by
Brian J Smith
[Scholar Profile | Author Map]
First Published: 2023-01-10
Latest Update: 2023-01-10
Description:
Estimation and comparison of the performances of diagnostic tests in multi-reader multi-case studies where true case statuses (or ground truths) are known and one or more readers provide test ratings for multiple cases. Reader performance metrics are provided for area under and expected utility of ROC curves, likelihood ratio of positive or negative tests, and sensitivity and specificity. ROC curves can be estimated empirically or with binormal or binormal likelihood-ratio models. Statistical comparisons of diagnostic tests are based on the ANOVA model of Obuchowski-Rockette and the unified framework of Hillis (2005) . The ANOVA can be conducted with data from a full factorial, nested, or partially paired study design; with random or fixed readers or cases; and covariances estimated with the DeLong method, jackknifing, or an unbiased method. Smith and Hillis (2020) .
How to cite:
Brian J Smith (2023). MRMCaov: Multi-Reader Multi-Case Analysis of Variance. R package version 0.3.0, https://cran.r-project.org/web/packages/MRMCaov. Accessed 30 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited MRMCaov R package
View MRMCaov citation profile
Other R packages that MRMCaov depends, imports, suggests or enhances
Complete documentation for MRMCaov
Functions, R codes and Examples using the MRMCaov R package
Some associated functions: Franken . Kundel . MRMCaov-package . OR_to_RMH . RMH_to_OR . VanDyke . cov_methods . metrics . mrmc . plot-methods . print . roc_curves . srmc . stmc . summary-methods . 
Some associated R codes: DeLong.R . MRMCaov-package.R . binormalLR_params.R . binormal_params.R . convert.R . data.R . jackknife.R . lme.R . metrics.R . mrmc.R . mrmc_tests.R . plots.R . print.R . roc.R . srmc.R . stmc.R . summary.R . unbiased.R . utils.R .  Full MRMCaov package functions and examples
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