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salso  

Search Algorithms and Loss Functions for Bayesian Clustering
View on CRAN: Click here


Download and install salso package within the R console
Install from CRAN:
install.packages("salso")

Install from Github:
library("remotes")
install_github("cran/salso")

Install by package version:
library("remotes")
install_version("salso", "0.3.42")



Attach the package and use:
library("salso")
Maintained by
David B. Dahl
[Scholar Profile | Author Map]
First Published: 2019-09-21
Latest Update: 2023-07-17
Description:
The SALSO algorithm is an efficient randomized greedy search method to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. The algorithm is implemented for many loss functions, including the Binder loss and a generalization of the variation of information loss, both of which allow for unequal weights on the two types of clustering mistakes. Efficient implementations are also provided for Monte Carlo estimation of the posterior expected loss of a given clustering estimate. See Dahl, Johnson, M
How to cite:
David B. Dahl (2019). salso: Search Algorithms and Loss Functions for Bayesian Clustering. R package version 0.3.42, https://cran.r-project.org/web/packages/salso. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.2 (2019-09-21 13:40), 0.1.3 (2019-09-27 18:30), 0.1.9 (2019-11-29 20:50), 0.1.11 (2020-01-07 21:20), 0.1.16 (2020-02-07 20:00), 0.2.3 (2020-11-09 20:00), 0.2.5 (2020-11-19 14:10), 0.2.15 (2021-03-10 16:40), 0.2.20 (2021-03-28 00:20), 0.2.22 (2021-05-13 09:40), 0.2.23 (2021-08-13 06:40), 0.3.0 (2021-12-06 19:20), 0.3.27 (2022-12-03 01:40), 0.3.29 (2022-12-20 07:30), 0.3.35 (2023-07-17 22:20), 0.3.41 (2024-09-07 02:10)
Other packages that cited salso R package
View salso citation profile
Other R packages that salso depends, imports, suggests or enhances
Complete documentation for salso
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