ccdrAlgorithm (0.0.4)

0 users

CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks.

https://github.com/itsrainingdata/ccdrAlgorithm
http://cran.r-project.org/web/packages/ccdrAlgorithm

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, graph, igraph, testthat
Reverse depends: sparsebn

Released 2 months ago.


3 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of ccdrAlgorithm yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for ccdrAlgorithm on google, google scholar, r-help, r-devel.

Visit ccdrAlgorithm on R Graphical Manual.