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: |
0.6.0 |
| 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:
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