===================================================================
RCS file: /home/cvs/OpenXM/src/R/r-packages/hgm/DESCRIPTION,v
retrieving revision 1.1
retrieving revision 1.13
diff -u -p -r1.1 -r1.13
--- OpenXM/src/R/r-packages/hgm/DESCRIPTION	2013/02/07 07:38:22	1.1
+++ OpenXM/src/R/r-packages/hgm/DESCRIPTION	2015/03/21 22:49:34	1.13
@@ -1,15 +1,16 @@
 Package: hgm
 Type: Package
 Depends: R (>= 2.6.0)
-Title: Holonomic gradient method and gradient
-Version: 0.8
-Date: 2013-02-07
-Author: Nobuki Takayama, 
+Depends: deSolve
+Title: Holonomic gradient method and gradient descent
+Version: 1.9
+Date: 2015-03-22
+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) gives a way to evaluate normalization
+Description: The holonomic gradient method (HGM, hgm) gives a way to evaluate normalization
   constants of unnormalized probability distributions by utilizing holonomic 
-  system of differential equations. The holonomic gradient descent gives a method
-  to find maximal likelihood estimates by utilizing the hgm.
-License: GPL
+  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
 URL: http://www.openxm.org