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: | 2.0.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | salso (≥ 0.1.3) |
| Published: | 2019-10-02 |
| 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 |
| Reference manual: | sdols.pdf |
| Package source: | sdols_2.0.0.tar.gz |
| Windows binaries: | r-devel: sdols_2.0.0.zip, r-release: sdols_2.0.0.zip, r-oldrel: sdols_2.0.0.zip |
| macOS binaries: | r-release: sdols_2.0.0.tgz, r-oldrel: sdols_2.0.0.tgz |
| Old sources: | sdols archive |
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