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>.

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Description file content

Package
salso
Type
Package
Title
Sequentially-Allocated Latent Structure Optimization
Version
0.1.9
Author
David B. Dahl
Maintainer
David B. Dahl
Description
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 .
License
MIT + file LICENSE | Apache License 2.0
Depends
R (>= 3.3.0)
SystemRequirements
Cargo (>= 1.31.0) [the Rust package manager]
Encoding
UTF-8
LazyData
TRUE
RoxygenNote
7.0.1
NeedsCompilation
yes
Packaged
2019-11-28 15:30:57 UTC; dahl
Repository
CRAN
Date/Publication
2019-11-29 19:50:03 UTC

install.packages('salso')

0.1.9

16 days ago

David B. Dahl

MIT + file LICENSE | Apache License 2.0

Depends on

R (>= 3.3.0)

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