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.
- Version0.5.1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release02/20/2024
Documentation
Team
Corie Drake
Insights
Last 30 days
This package has been downloaded 150 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,000 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jan 18, 2025 with 22 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports8 packages
- Suggests2 packages