bbl
1.0.0Boltzmann Bayes Learner
Overview
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.
Install
Health
- WARNING r-oldrel-macos-arm64
- WARNING2026-04-2211 OK · 1 NOTE · 2 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1810 OK · 1 NOTE · 2 WARNING · 1 ERROR · 0 FAILURE
- WARNING2026-03-1011 OK · 1 NOTE · 2 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 91%
- References docs
- 4%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
7 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.0.0Latest
- 0.4.12021-11-18 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.4.02021-02-03 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.3.12020-03-11 · diff ↗
- unarchivedReturned to CRAN2020-03-11
- archivedRemoved from CRAN2020-03-07check problems were not corrected in time
- 0.3.02020-01-09 · diff ↗
- 0.2.02019-10-28 · diff ↗
- 0.1.52019-09-04
Show 1 earlier events
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-09-04
- Total releases
- 7 / 7 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.6.0
- Download size
- 489 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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