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NestMRMC
View on CRAN: Click
here
Download and install NestMRMC package within the R console
Install from CRAN:
install.packages("NestMRMC")
Install from Github:
library("remotes")
install_github("cran/NestMRMC") Install by package version:
library("remotes")
install_version("NestMRMC", "1.0") Attach the package and use:
library("NestMRMC")
Maintained by
Hongfei Du
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-21
Latest Update: 2022-10-21
Description:
This R package provides a calculation of between-cases AUC estimate, corresponding covariance, and variance estimate in the nested data problem. Also, the package has the function to simulate the nested data. The calculated between-cases AUC estimate is used to evaluate the reader's diagnostic performance in clinical tasks with nested data. For more details on the above methods, please refer to the paper by H Du, S Wen, Y Guo, F Jin, BD Gallas (2022) .
How to cite:
Hongfei Du (2022). NestMRMC: Single Reader Between-Cases AUC Estimator in Nested Data. R package version 1.0, https://cran.r-project.org/web/packages/NestMRMC. Accessed 07 Mar. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for NestMRMC
Functions, R codes and Examples using
the NestMRMC R package
Some associated functions: AUC_cov_2reader_nest . AUC_per_reader_nest . cov_m8_f1 . cov_m8_f2 . data_MRMC . delete_diag . expected_data . m11_f . m8_f . simu_config . success_score . sum_diag . true_AUC_var_abitrary . true_AUC_var_abitrary_Rcpp . var_coef .
Some associated R codes: AUC_per_reader_nest.R . NancySimulation.R . RcppExports.R . TheoreticalAUCVar.R . TheoreticalAUCVarRcpp.R . Full NestMRMC package functions and examples
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