bnlearn_interiamb
INTER-IAMB
Package |
|
Version |
4.8.3 |
Language |
|
Docs |
|
Paper |
Yaramakala and Margaritis[1] |
Graph type |
|
Docker |
|
Module folder |
Description
As in GS, this algorithm is also based on the Markov blanket method to first determine the undirected skeleton. However, in incremental association Markov blanket (inter-IAMB) the variable to be included in the Markov blankets are not considered in static order as in GS and the forward-backward stages are combined into a single procedure, which has the effect of reducing the size of the blankets.
Example JSON
[
{
"id": "interiamb-zf",
"alpha": [
0.01,
0.05
],
"test": "zf",
"B": null,
"maxsx": null,
"debug": false,
"undirected": false,
"timeout": null
},
{
"id": "interiamb-mi",
"alpha": [
0.01,
0.05
],
"test": "mi",
"B": null,
"maxsx": null,
"debug": false,
"undirected": false,
"timeout": null
}
]