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.

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Description file content

Package
sdols
Type
Package
Title
Summarizing Distributions of Latent Structures
Version
1.7
Date
2018-10-29
URL
BugReports
https://dahl.byu.edu
Description
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.
Imports
rscala (>= 3.2.3), commonsMath (>= 1.2), stats
Depends
R (>= 3.1.0)
LazyData
TRUE
License
Apache License 2.0 | file LICENSE
Encoding
UTF-8
RoxygenNote
6.1.0
NeedsCompilation
no
Packaged
2018-10-30 03:27:29 UTC; dahl
Author
David B. Dahl [aut, cre], Peter Müller [aut]
Maintainer
David B. Dahl
Repository
CRAN
Date/Publication
2018-10-30 11:30:06 UTC

install.packages('sdols')

1.7

a month ago

https://dahl.byu.edu

David B. Dahl

Apache License 2.0 | file LICENSE

Depends on

R (>= 3.1.0)

Imports

rscala (>= 3.2.3), commonsMath (>= 1.2), stats

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