Implementation of the CCDr (Concave penalized Coordinate Descent with reparametrization) structure learning algorithm as described in Aragam and Zhou (2015)
. This is a fast, score-based method for learning Bayesian networks that uses sparse regularization and block-cyclic coordinate descent.
Vignette: None available.
Install package and any missing dependencies by running this line in your R console:
|License||GPL (>= 2)|
|CRAN checks||ccdrAlgorithm check results|
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