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 <https://www.birs.ca/events/2017/5-day-workshops/17w5060/schedule>.

Version: 0.1.9
Depends: R (≥ 3.3.0)
Published: 2019-11-29
Author: David B. Dahl
Maintainer: David B. Dahl <dahl at stat.byu.edu>
License: MIT + file LICENSE | Apache License 2.0
NeedsCompilation: yes
SystemRequirements: Cargo (>= 1.31.0) [the Rust package manager]
Materials: NEWS INSTALL
CRAN checks: salso results

Downloads:

Reference manual: salso.pdf
Package source: salso_0.1.9.tar.gz
Windows binaries: r-devel: salso_0.1.3.zip, r-devel-gcc8: salso_0.1.9.zip, r-release: salso_0.1.9.zip, r-oldrel: salso_0.1.9.zip
OS X binaries: r-release: salso_0.1.9.tgz, r-oldrel: salso_0.1.9.tgz
Old sources: salso archive

Reverse dependencies:

Reverse imports: sdols, shallot

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