Small Networks (<20 nodes)

network

HEALTHCARE

Number of nodes: 7
Number 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.
network

SANGIOVESE

Number of nodes: 15
Number of arcs: 55
Number of parameters: 259
Average Markov blanket size: 11.2
Average degree: 7.33
Maximum in-degree: 10

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.