bnmonitor
0.2.2An Implementation of Sensitivity Analysis in Bayesian Networks
Overview
An implementation of sensitivity and robustness methods in Bayesian networks in R. It includes methods to perform parameter variations via a variety of co-variation schemes, to compute sensitivity functions and to quantify the dissimilarity of two Bayesian networks via distances and divergences. It further includes diagnostic methods to assess the goodness of fit of a Bayesian networks to data, including global, node and parent-child monitors. Reference: M. Leonelli, R. Ramanathan, R.L. Wilkerson (2022) doi:10.1016/j.knosys.2023.110882.
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- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 65%
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Code & Tests
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People & History
8 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
- 0.2.2Latest
- 0.2.12024-09-20 · diff ↗
- 0.2.02024-07-13 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 0.1.42023-06-03 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.1.32022-04-20 · diff ↗
- 0.1.22022-03-15 · diff ↗
- 0.1.12021-07-08 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 0.1.02021-02-08
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-02-08
- Total releases
- 8 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 12 KB / 15 files
- Download size
- 298 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet