ccdrAlgorithm: CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks
Version 0.0.4

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 publication2017-09-11 08:23:27 UTC
MaintainerBryon Aragam <sparsebn@gmail.com>
LicenseGPL (>= 2)
Version0.0.4
URL https://github.com/itsrainingdata/ccdrAlgorithm
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ccdrAlgorithm")

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ccdrAlgorithm documentation built on Sept. 11, 2017, 9:04 a.m.