Computes the population-based measures of agreement for binary classification, and agreement and association ordinal classification. The measures are based on results from generalized linear mixed model (GLMM) with crossed-random effects. Observed agreement (and association) are estimated while minimizing chance agreement (and association).
Package details |
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Author | Aya Mitani |
Maintainer | The package maintainer <amitani@hsph.harvard.edu> |
License | What license is it under? |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
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