Implementation of the CCDr (Concave penalized Coordinate Descent with reparametrization) structure learning algorithm as described in Aragam and Zhou (2015) <http://www.jmlr.org/papers/v16/aragam15a.html>. This is a fast, scorebased method for learning Bayesian networks that uses sparse regularization and blockcyclic coordinate descent.
Package details 


Maintainer  Bryon Aragam <[email protected]> 
License  GPL (>= 2) 
Version  0.0.5 
URL  https://github.com/itsrainingdata/ccdrAlgorithm 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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