Binary BN
| Package | Benchpress |
| Version | |
| Language | R |
| Docs | |
| Paper | :footcite:t:`rios2021benchpress` |
| Graph type | DAG |
| Docker | bpimages/benchpress:2.1.0 |
| Module | bin_bn |
Description
An object of this module defines a binary Bayesian network (where the nodes are binary variables) by sampling its conditional probability tables. More specifically, the conditional probability tables for each variable Y_i and parent configuration pa(Y_i) are distributed as
P(Y_i=0 | pa(y_i) ) \sim \mathrm{Unif}([a, b]),
where (a,b) \in [0,1]^2, a<b and \mathrm{Unif}(c) denotes the uniform distribution on the set c.
Example
[
{
"id": "binbn",
"min": 0.1,
"max": 0.9
}
].. footbibliography::