ccdrAlgorithm: 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) <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.

Install the latest version of this package by entering the following in R:
install.packages("ccdrAlgorithm")
AuthorBryon Aragam [aut, cre], Dacheng Zhang [aut]
Date of publication2017-03-10 01:06:02
MaintainerBryon Aragam <sparsebn@gmail.com>
LicenseGPL (>= 2)
Version0.0.3
https://github.com/itsrainingdata/ccdrAlgorithm

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