===================================================================
RCS file: /home/cvs/OpenXM/src/R/r-packages/hgm/DESCRIPTION,v
retrieving revision 1.10
retrieving revision 1.24
diff -u -p -r1.10 -r1.24
--- OpenXM/src/R/r-packages/hgm/DESCRIPTION	2014/03/31 00:49:51	1.10
+++ OpenXM/src/R/r-packages/hgm/DESCRIPTION	2019/11/16 11:03:43	1.24
@@ -1,15 +1,14 @@
 Package: hgm
 Type: Package
-Depends: R (>= 2.6.0)
-Depends: deSolve
-Title: Holonomic gradient method and gradient descent
-Version: 1.7
-Date: 2014-03-31
-Author: Nobuki Takayama, Tamio Koyama, Tomonari Sei, Kenta Nishiyama, Hiromasa Nakayama
+Depends: R (>= 2.6.0), deSolve
+Title: Holonomic Gradient Method and Gradient Descent
+Version: 1.18
+Date: 2019-11-16
+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