# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "bayesSSM" in publications use:' type: software license: MIT title: 'bayesSSM: Bayesian Methods for State Space Models' version: 0.7.1.9000 doi: 10.32614/CRAN.package.bayesSSM abstract: Implements methods for Bayesian analysis of State Space Models. Includes implementations of the Particle Marginal Metropolis-Hastings algorithm described in Andrieu et al. (2010) and automatic tuning inspired by Pitt et al. (2012) and J. Dahlin and T. B. Schön (2019) . authors: - family-names: Hautop given-names: Bjarke email: bjarke.hautop@gmail.com repository: https://bjarkehautop.r-universe.dev repository-code: https://github.com/BjarkeHautop/bayesSSM commit: 40b765c400957048e9b42d05dfc8b0d99dd150c7 url: https://bjarkehautop.github.io/bayesSSM/ date-released: '2025-12-16' contact: - family-names: Hautop given-names: Bjarke email: bjarke.hautop@gmail.com