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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>.

Version:1.2.0
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:2024-10-30
DOI:10.32614/CRAN.package.COMBO
Author:Kimberly Hochstedler Webb [aut, cre]
Maintainer:Kimberly Hochstedler Webb <kah343 at cornell.edu>
License:MIT + fileLICENSE
NeedsCompilation:no
SystemRequirements:JAGS (http://mcmc-jags.sourceforge.net)
Materials:README
CRAN checks:COMBO results

Documentation:

Reference manual:COMBO.html ,COMBO.pdf
Vignettes:COMBO Notation Guide (source,R code)
COMBO Notation Guide - Two-stage Misclassification Model (source,R code)

Downloads:

Package source: COMBO_1.2.0.tar.gz
Windows binaries: r-devel:COMBO_1.2.0.zip, r-release:COMBO_1.2.0.zip, r-oldrel:COMBO_1.2.0.zip
macOS binaries: r-release (arm64):COMBO_1.2.0.tgz, r-oldrel (arm64):COMBO_1.2.0.tgz, r-release (x86_64):COMBO_1.2.0.tgz, r-oldrel (x86_64):COMBO_1.2.0.tgz
Old sources: COMBO archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=COMBOto link to this page.


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