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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.7.1 |
rolling linux/jammy R-4.5 | emery_0.7.1.tar.gz |
404.0 KiB |
0.7.1 |
rolling linux/noble R-4.5 | emery_0.7.1.tar.gz |
403.8 KiB |
0.7.1 |
rolling source/ R- | emery_0.7.1.tar.gz |
498.7 KiB |
0.7.1 |
latest linux/jammy R-4.5 | emery_0.7.1.tar.gz |
404.0 KiB |
0.7.1 |
latest linux/noble R-4.5 | emery_0.7.1.tar.gz |
403.8 KiB |
0.7.1 |
latest source/ R- | emery_0.7.1.tar.gz |
498.7 KiB |
0.7.1 |
2026-04-26 source/ R- | emery_0.7.1.tar.gz |
498.7 KiB |
0.7.1 |
2026-04-23 source/ R- | emery_0.7.1.tar.gz |
498.7 KiB |
0.7.1 |
2026-04-09 windows/windows R-4.5 | emery_0.7.1.zip |
404.1 KiB |
0.5.1 |
2025-04-20 source/ R- | emery_0.5.1.tar.gz |
171.8 KiB |