salso: Sequentially-Allocated Latent Structure Optimization

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 <>.

Version: 0.1.16
Depends: R (≥ 3.3.0)
Published: 2020-02-07
Author: David B. Dahl
Maintainer: David B. Dahl <dahl at>
License: MIT + file LICENSE | Apache License 2.0
NeedsCompilation: yes
SystemRequirements: Cargo (>= 1.31.0) for installation from sources: see file INSTALL
CRAN checks: salso results


Reference manual: salso.pdf
Package source: salso_0.1.16.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: salso_0.1.16.tgz, r-oldrel: salso_0.1.16.tgz
Old sources: salso archive

Reverse dependencies:

Reverse imports: sdols, shallot


Please use the canonical form to link to this page.