ccdrAlgorithm {ccdrAlgorithm}R Documentation

ccdrAlgorithm: CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks


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


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, that runs the main algorithm, and uses sparsebnUtils for the underlying data structures and methods.

[Package ccdrAlgorithm version 0.0.5 Index]