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# CITATION.cff 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 "SteadyStateBVAR" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'SteadyStateBVAR: Bayesian Vector Autoregressions with Steady-State Priors'
version: 0.2.0.9000
identifiers:
- type: doi
  value: 10.32614/CRAN.package.SteadyStateBVAR
abstract: Provides estimation of Bayesian vector autoregression (BVAR) models with
  steady-state priors via 'Stan', along with functions for unconditional and conditional
  forecasting, as well as impulse response analysis. For details on the steady-state
  BVAR model see Villani (2009) <https://doi.org/10.1002/jae.1065>.
authors:
- family-names: Becker
  given-names: Mark
  email: mark.jw.becker@gmail.com
preferred-citation:
  type: manual
  title: 'SteadyStateBVAR: Bayesian Vector Autoregressions with Steady-State Priors'
  authors:
  - family-names: Becker
    given-names: Mark
    email: mark.jw.becker@gmail.com
  year: '2026'
  url: https://github.com/markjwbecker/SteadyStateBVAR
repository: https://markjwbecker.r-universe.dev
repository-code: https://github.com/markjwbecker/SteadyStateBVAR
commit: ad4a0eef294b3510ea8dbc88bd14848095903933
url: https://markjwbecker.github.io/SteadyStateBVAR/
date-released: '2026-09-15'
contact:
- family-names: Becker
  given-names: Mark
  email: mark.jw.becker@gmail.com