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
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-prerel: emery_0.5.1.zip, r-release: emery_0.5.1.zip, r-oldrel: emery_0.5.1.zip
macOS binaries: r-prerel (arm64): emery_0.5.1.tgz, r-release (arm64): emery_0.5.1.tgz, r-oldrel (arm64): emery_0.5.1.tgz, r-prerel (x86_64): emery_0.5.1.tgz, r-release (x86_64): emery_0.5.1.tgz

Linking:

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