Accuracy Statistic Estimation for Imperfect Gold Standards

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.


This package can be installed by running

devtools::install_github("therealcfdrake/emery", build_vignettes = TRUE)

Reference manual

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install.packages("emery")

0.7.1 by Corie Drake, 8 months ago


https://github.com/therealcfdrake/emery


Report a bug at https://github.com/therealcfdrake/emery/issues


Browse source code at https://github.com/cran/emery


Authors: Corie Drake [aut, cre, cph] (ORCID:


Documentation:   PDF Manual  


GPL (>= 3) license


Imports stats, dplyr, ggplot2, purrr, tibble, tidyr, utils, methods, mvtnorm, stringr, Rdpack

Suggests knitr, rmarkdown, testthat


See at CRAN