ccdrAlgorithm (0.0.5)

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CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks.

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.

Maintainer: Bryon Aragam
Author(s): Bryon Aragam [aut, cre], Dacheng Zhang [aut]

License: GPL (>= 2)

Uses: Rcpp, sparsebnUtils, Matrix, graph, igraph, testthat
Reverse depends: sparsebn

Released over 1 year ago.

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