bin_bn

Binary BN

Package

Benchpress

Version

Language

R

Docs

Paper

Rios et al.[1]

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
  }
]