missingHE: Missing Cost Effectiveness Models

Performs Bayesian cost-effectiveness analysis with missing outcome data. Three classes of models can be fitted under a variety of missing data assumptions: selection models, pattern mixture models and hurdle models. The package allows to assess model convergence and summarise the statistical and economic results using different types of measures and graphs.

Version: 1.6.3
Depends: R (≥ 4.1.0)
Imports: ggpubr, ggmcmc, ggthemes, BCEA, ggplot2, bayesplot, methods, R2jags, loo, coda, mcmcr
Suggests: knitr, rmarkdown, rjags, bookdown, devtools, testthat (≥ 3.0.0)
Published: 2026-11-14
DOI: 10.32614/CRAN.package.missingHE
Author: Andrea Gabrio ORCID iD [aut, cre, cph]
Maintainer: Andrea Gabrio <a.gabrio at maastrichtuniversity.nl>
BugReports: https://github.com/AnGabrio/missingHE/issues/
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/AnGabrio/missingHE, https://angabrio.github.io/missingHE/
NeedsCompilation: no
Citation: missingHE citation info
Materials: README, NEWS
In views: MissingData
CRAN checks: missingHE results

Documentation:

Reference manual: missingHE.html , missingHE.pdf
Vignettes: Fitting MNAR models in missingHE (source, R code)
Introduction to missingHE (source, R code)
Longitudinal models in missingHE (source, R code)
Model and output customisation in missingHE (source, R code)

Downloads:

Package source: missingHE_1.6.3.tar.gz
Windows binaries: r-devel: missingHE_1.6.2.zip, r-release: missingHE_1.6.2.zip, r-oldrel: missingHE_1.6.2.zip
macOS binaries: r-release (arm64): missingHE_1.6.2.tgz, r-oldrel (arm64): missingHE_1.6.2.tgz, r-release (x86_64): missingHE_1.6.2.tgz, r-oldrel (x86_64): missingHE_1.6.2.tgz
Old sources: missingHE archive

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