# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "salso" in publications use:' type: software license: - Apache-2.0 - MIT title: 'salso: Search Algorithms and Loss Functions for Bayesian Clustering' version: 0.3.73 doi: 10.32614/CRAN.package.salso abstract: The SALSO algorithm is an efficient randomized greedy search method to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. The algorithm is implemented for many loss functions, including the Binder loss and a generalization of the variation of information loss, both of which allow for unequal weights on the two types of clustering mistakes. Efficient implementations are also provided for Monte Carlo estimation of the posterior expected loss of a given clustering estimate. See Dahl, Johnson, Müller (2022) . authors: - family-names: Dahl given-names: David B. email: dahl@stat.byu.edu orcid: https://orcid.org/0000-0002-8173-1547 - family-names: Johnson given-names: Devin J. email: devin.j.johnson7@gmail.com orcid: https://orcid.org/0000-0003-2619-6649 - family-names: Müller given-names: Peter email: pmueller@math.utexas.edu - family-names: Barrientos given-names: Andrés Felipe email: abarrientos@fsu.edu - family-names: Page given-names: Garritt email: page@stat.byu.edu - family-names: Dunson given-names: David email: dunson@duke.edu repository: https://dbdahl.r-universe.dev repository-code: https://github.com/dbdahl/salso commit: 84e62fe308cce20f0e0b090b04d12ce186215a5b url: https://github.com/dbdahl/salso date-released: '2026-03-14' contact: - family-names: Dahl given-names: David B. email: dahl@stat.byu.edu orcid: https://orcid.org/0000-0002-8173-1547