===================================================================
RCS file: /home/cvs/OpenXM/src/R/r-packages/hgm/DESCRIPTION,v
retrieving revision 1.8
retrieving revision 1.21
diff -u -p -r1.8 -r1.21
--- OpenXM/src/R/r-packages/hgm/DESCRIPTION	2014/03/24 05:28:17	1.8
+++ OpenXM/src/R/r-packages/hgm/DESCRIPTION	2016/05/30 00:38:18	1.21
@@ -1,14 +1,14 @@
 Package: hgm
 Type: Package
-Depends: R (>= 2.6.0)
-Title: Holonomic gradient method and gradient
-Version: 1.5
-Date: 2014-03-24
-Author: Nobuki Takayama, Tamio Koyama 
+Depends: R (>= 2.6.0), deSolve
+Title: Holonomic Gradient Method and Gradient Descent
+Version: 1.16
+Date: 2016-05-30
+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