Other packages > Find by keyword >

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", "0.3.1")



Attach the package and use:
library("MRMCaov")
Maintained by
Brian J Smith
[Scholar Profile | Author Map]
All associated links for this package
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 0.3.1, https://cran.r-project.org/web/packages/MRMCaov. Accessed 13 Oct. 2026.
Previous versions and publish date:
0.3.0 (2023-01-10 19:33), (2026-07-09 08:09)
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
covid19us  
Cases of COVID-19 in the United States
A wrapper around the 'COVID Tracking Project API' providing data o ...
Download / Learn more Package Citations See dependency  
robust2sls  
Outlier Robust Two-Stage Least Squares Inference and Testing
An implementation of easy tools for outlier robust inference in two-stage least squares (2SLS) mode ...
Download / Learn more Package Citations See dependency  
dafs  
Data Analysis for Forensic Scientists
Data and miscellanea to support the book "Introduction to Data analysis with R for Forensic Scientis ...
Download / Learn more Package Citations See dependency  
weibullness  
Goodness-of-Fit Test for Weibull Distribution (Weibullness)
Conducts a goodness-of-fit test for the Weibull distribution (referred to as the weibullness test) a ...
Download / Learn more Package Citations See dependency  

29,000

R Packages

247,686

Dependencies

76,729

Author Associations

29,001

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA