ccdrAlgorithm {ccdrAlgorithm}R Documentation

ccdrAlgorithm: CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks

Description

Implements the CCDr structure learning algorithm as described in Aragam and Zhou (2015).

Details

The CCDr algorithm uses sparse regularization (L1 or MCP) to produce a solution path of DAG estimates along a pre-determined grid of hyperparameters. This package implements a single function, ccdr.run that runs the main algorithm, and uses sparsebnUtils for the underlying data structures and methods.


[Package ccdrAlgorithm version 0.0.5 Index]