Package: missingHE
Type: Package
Title: Missing Cost Effectiveness Models
Version: 1.6.2.1
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. 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>.
Authors@R: person("Andrea", "Gabrio", email = "a.gabrio@maastrichtuniversity.nl", role = c("aut", "cre"))
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, 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
Author: Andrea Gabrio [aut, cre, cph] (ORCID:
        <https://orcid.org/0000-0002-7650-4534>)
Maintainer: Andrea Gabrio <a.gabrio@maastrichtuniversity.nl>
Roxygen: list(markdown = TRUE)
Config/testthat/edition: 3
Config/pak/sysreqs: cmake make jags libicu-dev libuv1-dev libssl-dev
Repository: https://angabrio.r-universe.dev
Date/Publication: 2026-10-20 09:50:47 UTC
RemoteUrl: https://github.com/angabrio/missinghe
RemoteRef: HEAD
RemoteSha: e22495084d1e7e9505efdaecfb2de41dc37c8707
NeedsCompilation: no
Packaged: 2026-10-20 10:31:14 UTC; root