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MRMCaov
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]
[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 0.3.0, https://cran.r-project.org/web/packages/MRMCaov. Accessed 22 Dec. 2024.
Previous versions and publish date:
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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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