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 |
| 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 |
| 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) |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=missingHE to link to this page.