Package: salso
Type: Package
Title: Search Algorithms and Loss Functions for Bayesian Clustering
Version: 0.3.27
Authors@R: c(person(given="David B.",family="Dahl",role=c("aut","cre"),email="dahl@stat.byu.edu",comment=c(ORCID="0000-0002-8173-1547")),
             person(given="Devin J.",family="Johnson",role=c("aut"),email="devin.j.johnson7@gmail.com",comment=c(ORCID="0000-0003-2619-6649")),
             person(given="Peter",family="Müller",role=c("aut"),email="pmueller@math.utexas.edu"),
             person(given="The authors of the dependency Rust crates", role = c("ctb"), comment="see inst/AUTHORS file for details"))
Description: 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) <doi:10.1080/10618600.2022.2069779>.
License: MIT + file LICENSE | Apache License 2.0
BugReports: https://github.com/dbdahl/salso/issues
Depends: R (>= 4.2.0)
SystemRequirements: Cargo (>= 1.56) (Rust's package manager), rustc
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.2.1
NeedsCompilation: yes
Packaged: 2022-12-02 23:39:41 UTC; dahl
Author: David B. Dahl [aut, cre] (<https://orcid.org/0000-0002-8173-1547>),
  Devin J. Johnson [aut] (<https://orcid.org/0000-0003-2619-6649>),
  Peter Müller [aut],
  The authors of the dependency Rust crates [ctb] (see inst/AUTHORS file
    for details)
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Repository: CRAN
Date/Publication: 2022-12-03 00:40:02 UTC
