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: 1.4
Depends: R (≥ 3.1.0)
Imports: rscala (≥ 2.5.0), commonsMath (≥ 1.1), stats
Published: 2017-12-05
Author: David B. Dahl [aut, cre], Peter Müller [aut]
Maintainer: David B. Dahl <dahl at stat.byu.edu>
BugReports: https://dahl.byu.edu
License: Apache License 2.0 | file LICENSE
URL: https://dahl.byu.edu
NeedsCompilation: no
Materials: NEWS
CRAN checks: sdols results

Downloads:

Reference manual: sdols.pdf
Package source: sdols_1.4.tar.gz
Windows binaries: r-devel: sdols_1.4.zip, r-release: sdols_1.4.zip, r-oldrel: sdols_1.4.zip
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: not available
Old sources: sdols archive

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