Small Networks (<20 nodes)
HEALTHCARE
Number of nodes: 7Number of arcs: 9
Number of parameters: 42
Average Markov blanket size: 3.14
Average degree: 2.57
Maximum in-degree: 2
RDA (bn.fit) (967B)
RDS (bn.fit) (955B)
M. Scutari and J.-B. Denis. Bayesian Networks: with Examples in R. Chapman & Hall, 2nd edition, 2021.
SANGIOVESE
Number of nodes: 15Number of arcs: 55
Number of parameters: 259
Average Markov blanket size: 11.2
Average degree: 7.33
Maximum in-degree: 9
RDA (bn.fit) (134.8kB)
RDS (bn.fit) (134.8kB)
A. Magrini, S. Di Blasi and F. M. Stefanini (2017). A conditional linear Gaussian network to assess the impact of several agronomic settings on the quality of Tuscan Sangiovese grapes. Biometrical Letters, 54(1):25–42.
Last updated on
Tue Nov 29 13:14:25 2022
with bnlearn
4.9-20221107
and R version 4.2.2 Patched (2022-11-10 r83330)
.