ccdrAlgorithm: CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks
Version 0.0.3

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.

Getting started

Package details

AuthorBryon Aragam [aut, cre], Dacheng Zhang [aut]
Date of publication2017-03-10 01:06:02
MaintainerBryon Aragam <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ccdrAlgorithm documentation built on May 29, 2017, 10:54 a.m.