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, score-based method for learning Bayesian networks that uses sparse regularization and block-cyclic coordinate descent.
|Author||Bryon Aragam [aut, cre], Dacheng Zhang [aut]|
|Maintainer||Bryon Aragam <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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