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emery  

Accuracy Statistic Estimation for Imperfect Gold Standards
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("emery", "0.6.0")



Attach the package and use:
library("emery")
Maintained by
Corie Drake
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-02-20
Latest Update: 2025-06-09
Description:
Produce maximum likelihood estimates of common accuracy statistics for multiple measurement methods when a gold standard is not available. An R implementation of the expectation maximization algorithms described in Zhou et al. (2011) with additional functions for creating simulated data and visualizing results. Supports binary, ordinal, and continuous measurement methods.
How to cite:
Corie Drake (2024). emery: Accuracy Statistic Estimation for Imperfect Gold Standards. R package version 0.6.0, https://cran.r-project.org/web/packages/emery. Accessed 08 Mar. 2026.
Previous versions and publish date:
0.5.1 (2024-02-20 21:20), 0.6.0 (2025-06-09 16:10), 0.7.0 (2026-02-22 21:00)
Other packages that cited emery R package
View emery citation profile
Other R packages that emery depends, imports, suggests or enhances
Complete documentation for emery
Functions, R codes and Examples using the emery R package
Full emery package functions and examples
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