# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "rstanbdp" in publications use:' type: software license: GPL-3.0-or-later title: 'rstanbdp: Bayesian Deming Regression for Method Comparison' version: 0.0.3 doi: 10.32614/CRAN.package.rstanbdp abstract: Regression methods to quantify the relation between two measurement methods are provided by this package. The focus is on a Bayesian Deming regressions family. With a Bayesian method the Deming regression can be run in a traditional fashion or can be run in a robust way just decreasing the degree of freedom d.f. of the sampling distribution. With d.f. = 1 an extremely robust Cauchy distribution can be sampled. Moreover, models for dealing with heteroscedastic data are also provided. For reference see G. Pioda (2024) . authors: - family-names: Pioda given-names: Giorgio email: gfwp@ticino.com orcid: https://orcid.org/0000-0002-8714-8678 repository: https://cran.r-universe.dev commit: 71cba7987d29318fadae2755773360cf6f351f4f date-released: '2024-07-27' contact: - family-names: Pioda given-names: Giorgio email: gfwp@ticino.com orcid: https://orcid.org/0000-0002-8714-8678