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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  [aut,
cre, cph] |
| Maintainer: |
Corie Drake <therealcfdrake at gmail.com> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
emery results |
Documentation:
Downloads:
Linking:
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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.
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