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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 "survHE" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'survHE: Survival Analysis in Health Economic Evaluation'
version: 2.0.2
doi: 10.32614/CRAN.package.survHE
abstract: 'Contains a suite of functions for survival analysis in health economics.
  These can be used to run survival models under a frequentist (based on maximum likelihood)
  or a Bayesian approach (both based on Integrated Nested Laplace Approximation or
  Hamiltonian Monte Carlo). To run the Bayesian models, the user needs to install
  additional modules (packages), i.e. ''survHEinla'' and ''survHEhmc''. These can
  be installed using ''remotes::install_github'' from their GitHub repositories: (<https://github.com/giabaio/survHEhmc>
  and <https://github.com/giabaio/survHEinla/> respectively). ''survHEinla'' is based
  on the package INLA, which is available for download at <https://inla.r-inla-download.org/R/stable/>.
  The user can specify a set of parametric models using a common notation and select
  the preferred mode of inference. The results can also be post-processed to produce
  probabilistic sensitivity analysis and can be used to export the output to an Excel
  file (e.g. for a Markov model, as often done by modellers and practitioners). <https://doi.org/10.18637/jss.v095.i14>.'
authors:
- family-names: Baio
  given-names: Gianluca
  email: g.baio@ucl.ac.uk
repository: https://CRAN.R-project.org/package=survHE
repository-code: https://github.com/giabaio/survHE
url: https://gianluca.statistica.it/software/survhe/
date-released: '2024-10-03'
contact:
- family-names: Baio
  given-names: Gianluca
  email: g.baio@ucl.ac.uk