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emery: 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) <doi:10.1002/9780470906514> with additional functions for creating simulated data and visualizing results. Supports binary, ordinal, and continuous measurement methods.

Version: 0.5.1
Imports: stats, dplyr, ggplot2, purrr, tibble, tidyr, mvtnorm, methods, stringr, Rdpack
Suggests: knitr, rmarkdown
Published: 2024-02-20
DOI: 10.32614/CRAN.package.emery
Author: Corie Drake ORCID iD [aut, cre, cph]
Maintainer: Corie Drake <therealcfdrake at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: emery results

Documentation:

Reference manual: emery.pdf
Vignettes: emery

Downloads:

Package source: emery_0.5.1.tar.gz
Windows binaries: r-devel: emery_0.5.1.zip, r-release: emery_0.5.1.zip, r-oldrel: emery_0.5.1.zip
macOS binaries: r-release (arm64): emery_0.5.1.tgz, r-oldrel (arm64): emery_0.5.1.tgz, r-release (x86_64): emery_0.5.1.tgz, r-oldrel (x86_64): emery_0.5.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=emery to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.