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) <doi:10.1002/9780470906514> with additional functions for creating simulated data and visualizing results. Supports binary, ordinal, and continuous measurement methods.
Version: 0.6.0 Depends: R (≥ 4.2.0) Imports: stats, dplyr, ggplot2, purrr, tibble, tidyr, utils, methods, mvtnorm, stringr, Rdpack Suggests: knitr, rmarkdown Published: 2025-06-09 DOI: 10.32614/CRAN.package.emery Author: Corie Drake [aut, cre, cph] Maintainer: Corie Drake <therealcfdrake at gmail.com> BugReports: https://github.com/therealcfdrake/emery/issues License: GPL (≥ 3) URL: https://github.com/therealcfdrake/emery NeedsCompilation: no Materials: README NEWS CRAN checks: emery results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=emery to link to this page.
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