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)
- Version1.2.0
- R version≥ 4.2.0
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Last release10/30/2024
Documentation
Team
Kimberly Hochstedler Webb
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- Depends1 package
- Imports7 packages
- Suggests4 packages