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. The methods implemented are described in Mason (2018) <doi:10.1002/hec.3793>, Molenberghs (2000) <doi:10.1007/978-1-4419-0300-6_18> and Gabrio (2019) <doi:10.1002/sim.8045>.
| Version: | 1.6.2 |
| Depends: | R (≥ 4.1.0) |
| Imports: | ggpubr, ggmcmc, ggthemes, BCEA, ggplot2, bayesplot, methods, R2jags, loo, coda, mcmcr |
| Suggests: | knitr, rmarkdown, bookdown, devtools |
| Published: | 2026-10-13 |
| DOI: | 10.32614/CRAN.package.missingHE |
| Author: | Andrea Gabrio 
[aut, cre, cph] |
| Maintainer: | Andrea Gabrio <a.gabrio at maastrichtuniversity.nl> |
| BugReports: | https://github.com/AnGabrio/missingHE/issues/ |
| License: | GPL-2 |
| URL: | https://github.com/AnGabrio/missingHE |
| NeedsCompilation: | no |
| 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_1.6.2.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 |
Linking:
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