sdols: Summarizing Distributions of Latent Structures

Summaries of distributions on clusterings and feature allocations are provided. Specifically, point estimates are obtained by the sequentially-allocated latent structure optimization (SALSO) algorithm to minimize squared error loss, absolute error loss, Binder loss, or the lower bound of the variation of information loss. Clustering uncertainty can be assessed with the confidence calculations and the associated plot.

Version: 1.7
Depends: R (≥ 3.1.0)
Imports: rscala (≥ 3.2.3), commonsMath (≥ 1.2), stats
Published: 2018-10-30
Author: David B. Dahl [aut, cre], Peter Müller [aut]
Maintainer: David B. Dahl <dahl at>
License: Apache License 2.0 | file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: sdols results


Reference manual: sdols.pdf
Package source: sdols_1.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: sdols_1.7.tgz, r-oldrel: sdols_1.7.tgz
Old sources: sdols archive

Reverse dependencies:

Reverse imports: shallot


Please use the canonical form to link to this page.