ccdr implements the CCDr structure learning algorithm for Bayesian networks.
Based on observational data, this algorithm estimates the structure of a Bayesian network (aka edges in a DAG) using penalized maximum likelihood based on L1 or concave (MCP) regularization. The main methods are:
Executes the main algorithm.
Convenience method for generating a good sequence of regularization parameters.
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