dbnlearn
Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting
It allows to learn the structure of univariate time series, learning parameters and forecasting. Implements a model of Dynamic Bayesian Networks with temporal windows, with collections of linear regressors for Gaussian nodes, based on the introductory texts of Korb and Nicholson (2010) <doi:10.1201/b10391> and Nagarajan, Scutari and Lèbre (2013) <doi:10.1007/978-1-4614-6446-4>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
2026-04-09 windows/windows R-4.5 | dbnlearn_0.1.0.zip |
27.0 KiB |