Package: missingHE
Type: Package
Title: Missing Cost Effectiveness Models
Version: 1.6.3
Description: 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.
Authors@R: person("Andrea", "Gabrio", email = "a.gabrio@maastrichtuniversity.nl", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-7650-4534"))
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, rjags, bookdown, devtools, testthat (>=
        3.0.0)
VignetteBuilder: knitr
URL: https://github.com/AnGabrio/missingHE,
        https://angabrio.github.io/missingHE/
License: GPL (>= 2)
Encoding: UTF-8
BugReports: https://github.com/AnGabrio/missingHE/issues/
LazyData: true
Imports: ggpubr, ggmcmc, ggthemes, BCEA, ggplot2, bayesplot, methods,
        R2jags, loo, coda, mcmcr
Config/roxygen2/version: 8.1.1
Maintainer: Andrea Gabrio <a.gabrio@maastrichtuniversity.nl>
Repository: CRAN
Config/testthat/edition: 3
Config/roxygen2/markdown: TRUE
NeedsCompilation: no
Packaged: 2026-11-14 12:38:46 UTC; Andrea
Author: Andrea Gabrio [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-7650-4534>)
Date/Publication: 2026-11-14 13:40:02 UTC
