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 |
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