Package: salso
Type: Package
Title: Sequentially-Allocated Latent Structure Optimization
Version: 0.1.16
Author: David B. Dahl
Maintainer: David B. Dahl <dahl@stat.byu.edu>
Description: Point estimation for partition distributions using the sequentially-allocated latent structure optimization (SALSO) method to minimize the expectation of the Binder loss or the lower bound of the expectation of the variation of information loss. The SALSO method was presented at the workshop "Bayesian Nonparametric Inference: Dependence Structures and their Applications" in Oaxaca, Mexico on December 6, 2017. See <https://www.birs.ca/events/2017/5-day-workshops/17w5060/schedule>. 
License: MIT + file LICENSE | Apache License 2.0
Depends: R (>= 3.3.0)
SystemRequirements: Cargo (>= 1.31.0) for installation from sources:
        see file INSTALL
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.0.2
NeedsCompilation: yes
Packaged: 2020-02-07 18:20:11 UTC; dahl
Repository: CRAN
Date/Publication: 2020-02-07 19:00:02 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-02-10 07:26:15 UTC; windows
Archs: i386, x64
