Update author list

Author: itsrainingdata

DESCRIPTION

@@ -2,7 +2,10 @@ Package: ccdrAlgorithm
 Title: CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks
 Version: 0.0.1
 Date: 2016-08-08
-Authors@R: person("Bryon", "Aragam", email = "sparsebn@gmail.com", role = c("aut", "cre"))
+Authors@R: c(
+    person("Bryon", "Aragam", email = "sparsebn@gmail.com", role = c("aut", "cre")),
+    person("Dacheng", "Zhang", role = c("aut"))
+    )
 Maintainer: Bryon Aragam <sparsebn@gmail.com>
 Description: 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.
 Depends: