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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.
Package details |
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Author | Corie Drake [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-1517-7103>) |
Maintainer | Corie Drake <therealcfdrake@gmail.com> |
License | GPL (>= 3) |
Version | 0.6.0 |
URL | https://github.com/therealcfdrake/emery |
Package repository | View on CRAN |
Installation |
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