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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "missingHE" in publications use:'
type: software
license: GPL-2.0-only
title: 'missingHE: Missing Outcome Data in Health Economic Evaluation'
version: 1.5.0
doi: 10.32614/CRAN.package.missingHE
abstract: 'Contains a suite of functions for health economic evaluations with missing
  outcome data. The package can fit different types of statistical models under a
  fully Bayesian approach using the software ''JAGS'' (which should be installed locally
  and which is loaded in ''missingHE'' via the ''R'' package ''R2jags''). Three classes
  of models can be fitted under a variety of missing data assumptions: selection models,
  pattern mixture models and hurdle models. In addition to model fitting, ''missingHE''
  provides a set of specialised functions to assess model convergence and fit, and
  to summarise the statistical and economic results using different types of measures
  and graphs. The methods implemented are described in Mason (2018) <https://doi.org/10.1002/hec.3793>,
  Molenberghs (2000) <https://doi.org/10.1007/978-1-4419-0300-6_18> and Gabrio (2019)
  <https://doi.org/10.1002/sim.8045>.'
authors:
- family-names: Gabrio
  given-names: Andrea
  email: a.gabrio@maastrichtuniversity.nl
repository: https://angabrio.r-universe.dev
commit: 54a075d4b0d34a52748c209ead757fe9e787e9ad
date-released: '2023-03-20'
contact:
- family-names: Gabrio
  given-names: Andrea
  email: a.gabrio@maastrichtuniversity.nl