Large Networks (50–100 nodes)



Number of nodes: 64
Number of arcs: 102
Number of parameters: 230
Average Markov blanket size: 9.97
Average degree: 3.19
Maximum in-degree: 11

RDA ( (143kB)
RDS ( (143kB)

Model developed as an example of multiple trait modelling in plant genetics for the invited talk “Bayesian Networks, MAGIC Populations and Multiple Trait Prediction” delivered by Marco Scutari at the 5th International Conference on Quantitative Genetics (ICQG 2016).
Last updated on Tue Nov 29 13:14:20 2022 with bnlearn 4.9-20221107 and R version 4.2.2 Patched (2022-11-10 r83330).