===================================================================
RCS file: /home/cvs/OpenXM/src/R/r-packages/hgm/DESCRIPTION,v
retrieving revision 1.9
retrieving revision 1.18
diff -u -p -r1.9 -r1.18
--- OpenXM/src/R/r-packages/hgm/DESCRIPTION	2014/03/25 02:25:26	1.9
+++ OpenXM/src/R/r-packages/hgm/DESCRIPTION	2016/02/13 22:56:50	1.18
@@ -1,15 +1,14 @@
 Package: hgm
 Type: Package
-Depends: R (>= 2.6.0)
-Depends: deSolve
-Title: Holonomic gradient method and gradient descent
-Version: 1.6
-Date: 2014-03-25
-Author: Nobuki Takayama, Tamio Koyama, Tomonari Sei
+Depends: R (>= 2.6.0), deSolve
+Title: Holonomic Gradient Method and Gradient Descent
+Version: 1.13
+Date: 2016-02-14
+Author: Nobuki Takayama, Tamio Koyama, Tomonari Sei, Hiromasa Nakayama, Kenta Nishiyama 
 Maintainer: Nobuki Takayama <takayama@math.kobe-u.ac.jp>
 Description: The holonomic gradient method (HGM, hgm) gives a way to evaluate normalization
   constants of unnormalized probability distributions by utilizing holonomic 
-  systems of differential equations. The holonomic gradient descent (HGD, hgd) gives a method
+  systems of differential or difference equations. The holonomic gradient descent (HGD, hgd) gives a method
   to find maximal likelihood estimates by utilizing the HGM.
 License: GPL-2
 LazyLoad: yes