bnstruct
Bayesian Network Structure Learning from Data with Missing Values
Bayesian Network Structure Learning from Data with Missing Values. The package implements the Silander-Myllymaki complete search, the Max-Min Parents-and-Children, the Hill-Climbing, the Max-Min Hill-climbing heuristic searches, and the Structural Expectation-Maximization algorithm. Available scoring functions are BDeu, AIC, BIC. The package also implements methods for generating and using bootstrap samples, imputed data, inference.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.15 |
rolling linux/jammy R-4.5 | bnstruct_1.0.15.tar.gz |
1.2 MiB |
1.0.15 |
rolling linux/noble R-4.5 | bnstruct_1.0.15.tar.gz |
1.2 MiB |
1.0.15 |
rolling source/ R- | bnstruct_1.0.15.tar.gz |
1008.4 KiB |
1.0.15 |
latest linux/jammy R-4.5 | bnstruct_1.0.15.tar.gz |
1.2 MiB |
1.0.15 |
latest linux/noble R-4.5 | bnstruct_1.0.15.tar.gz |
1.2 MiB |
1.0.15 |
latest source/ R- | bnstruct_1.0.15.tar.gz |
1008.4 KiB |
1.0.15 |
2026-04-26 source/ R- | bnstruct_1.0.15.tar.gz |
1008.4 KiB |
1.0.15 |
2026-04-23 source/ R- | bnstruct_1.0.15.tar.gz |
1008.4 KiB |
1.0.15 |
2026-04-09 windows/windows R-4.5 | bnstruct_1.0.15.zip |
1.2 MiB |
1.0.15 |
2025-04-20 source/ R- | bnstruct_1.0.15.tar.gz |
1008.4 KiB |