dbnlearn
cranv0.1.0Dynamic 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/
License MIT + file LICENSE0 versions1 maintainers3 deps81 weekly dl
https://CRAN.R-project.org/package=dbnlearn39
/ 100
Health
use with caution
[email protected] low health (39/100) — consider alternatives
- Low health score (39/100)
Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
12/15
maturity
2/15
community
Vulnerabilities
0
none known
Health History
Dependency Tree
License Audit
API access
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/cran/dbnlearnFirst published · 2020-07-30 12:02:38
Last updated · 2020-07-30T09:10:02+00:00