# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "SANvi" in publications use:' type: software license: MIT title: 'SANvi: Fitting Shared Atoms Nested Models via Variational Bayes' version: 0.1.1 doi: 10.32614/CRAN.package.SANvi abstract: 'An efficient tool for fitting the nested common and shared atoms models using variational Bayes approximate inference for fast computation. Specifically, the package implements the common atoms model (Denti et al., 2023), its finite version (D''Angelo et al., 2023), and a hybrid finite-infinite model. All models use Gaussian mixtures with a normal-inverse-gamma prior distribution on the parameters. Additional functions are provided to help analyze the results of the fitting procedure. References: Denti, Camerlenghi, Guindani, Mira (2023) , D’Angelo, Canale, Yu, Guindani (2023) .' authors: - family-names: Denti given-names: Francesco email: francescodenti.personal@gmail.com orcid: https://orcid.org/0000-0001-5034-7414 - family-names: D'Angelo given-names: Laura email: laura.dangelo@live.com orcid: https://orcid.org/0000-0003-2978-4702 repository: https://CRAN.R-project.org/package=SANvi repository-code: https://github.com/fradenti/SANvi url: https://github.com/fradenti/SANvi date-released: '2024-05-14' contact: - family-names: Denti given-names: Francesco email: francescodenti.personal@gmail.com orcid: https://orcid.org/0000-0001-5034-7414