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COMBO: Correcting Misclassified Binary Outcomes in Association Studies
Use frequentist and Bayesian methods to estimate parameters from a binary outcome misclassification model. These methods correct for the problem of "label switching" by assuming that the sum of outcome sensitivity and specificity is at least 1. A description of the analysis methods is available in Hochstedler and Wells (2023) <doi:10.48550/arXiv.2303.10215>.
Getting started
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Package details |
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| Author | Kimberly Hochstedler Webb [aut, cre] |
| Maintainer | Kimberly Hochstedler Webb <kah343@cornell.edu> |
| License | MIT + file LICENSE |
| Version | 1.2.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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