phsl-package: phsl: Partitioned and Hybrid Methods for Learning Bayesian...

In jirehhuang/phsl: Partitioned and Hybrid Methods for Learning Bayesian Network Structures

phsl: Partitioned and Hybrid Methods for Learning Bayesian Network Structures

Description

Partitioned and hybrid methods for learning Bayesian network structures. This package implements the partitioned PC (pPC) algorithm, the p-value adjacency thresholding (PATH) algorithm, and the hybrid greedy initialization (HGI) algorithm for learning Bayesian network structures. Altogether, these algorithms form the partitioned hybrid greedy search (pHGS) algorithm. These methods build upon and are implemented so as to extend the capabilities of algorithms featured in the bnlearn package.

Author(s)

Maintainer: Jireh Huang [e-mail]

Other contributors:

• Marco Scutari [e-mail] [contributor]

• Ariel Chow [e-mail] [reviewer]

jirehhuang/phsl documentation built on May 23, 2022, 4:19 a.m.