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bbl  

Boltzmann Bayes Learner
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bbl", "1.0.0")



Attach the package and use:
library("bbl")
Maintained by
Jun Woo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-04
Latest Update: 2022-01-27
Description:
Supervised learning using Boltzmann Bayes model inference, which extends naive Bayes model to include interactions. Enables classification of data into multiple response groups based on a large number of discrete predictors that can take factor values of heterogeneous levels. Either pseudo-likelihood or mean field inference can be used with L2 regularization, cross-validation, and prediction on new data. .
How to cite:
Jun Woo (2019). bbl: Boltzmann Bayes Learner. R package version 1.0.0, https://cran.r-project.org/web/packages/bbl. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 0.1.5 (2019-09-04 15:40), 0.2.0 (2019-10-28 17:10), 0.3.0 (2020-01-09 22:00), 0.3.1 (2020-03-11 12:30), 0.4.0 (2021-02-03 06:20), 0.4.1 (2021-11-18 18:00)
Other packages that cited bbl R package
View bbl citation profile
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Complete documentation for bbl
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