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>.
Version: | 1.1.0 |
Depends: | R (≥ 4.2.0) |
Imports: | dplyr (≥ 1.0.10), tidyr (≥ 1.2.1), Matrix (> 1.4-1), rjags (≥ 4-13), turboEM (≥ 2021.1), SAMBA (≥ 0.9.0), utils (≥ 4.2.0) |
Suggests: | knitr (≥ 1.40), testthat (≥ 3.0.0), devtools (≥ 2.4.5), xtable (≥ 1.8.0) |
Published: | 2024-07-06 |
DOI: | 10.32614/CRAN.package.COMBO |
Author: | Kimberly Hochstedler Webb [aut, cre] |
Maintainer: | Kimberly Hochstedler Webb <kah343 at cornell.edu> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
SystemRequirements: | JAGS (http://mcmc-jags.sourceforge.net) |
Materials: | README |
CRAN checks: | COMBO results |
Reference manual: | COMBO.pdf |
Vignettes: |
COMBO Notation Guide COMBO Notation Guide - Two-stage Misclassification Model |
Package source: | COMBO_1.1.0.tar.gz |
Windows binaries: | r-devel: COMBO_1.1.0.zip, r-release: COMBO_1.1.0.zip, r-oldrel: COMBO_1.1.0.zip |
macOS binaries: | r-release (arm64): COMBO_1.1.0.tgz, r-oldrel (arm64): COMBO_1.1.0.tgz, r-release (x86_64): COMBO_1.1.0.tgz, r-oldrel (x86_64): COMBO_1.1.0.tgz |
Old sources: | COMBO archive |
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