Package: bbl 1.0.0
Jun Woo
bbl: Boltzmann Bayes Learner
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. <doi:10.18637/jss.v101.i05>.
Authors:
bbl_1.0.0.tar.gz
bbl_1.0.0.tar.gz(r-4.5-noble)bbl_1.0.0.tar.gz(r-4.4-noble)
bbl_1.0.0.tgz(r-4.4-emscripten)bbl_1.0.0.tgz(r-4.3-emscripten)
bbl.pdf |bbl.html✨
bbl/json (API)
| # Install 'bbl' in R: |
| install.packages('bbl', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:d9195ab163. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 11 2024 |
| R-4.5-linux-x86_64 | OK | Dec 11 2024 |
Exports:bblbbl.fitcrossValfreq2rawmcSamplemlestimaterandomparrandomsampreadFastaremoveConstsample_xi
Dependencies:plyrpROCRColorBrewerRcpp
