===================================================================
RCS file: /home/cvs/OpenXM/src/R/r-packages/hgm/man/hgm-package.Rd,v
retrieving revision 1.3
retrieving revision 1.12
diff -u -p -r1.3 -r1.12
--- OpenXM/src/R/r-packages/hgm/man/hgm-package.Rd	2013/02/08 02:59:42	1.3
+++ OpenXM/src/R/r-packages/hgm/man/hgm-package.Rd	2015/03/21 23:40:34	1.12
@@ -1,4 +1,4 @@
-%% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm-package.Rd,v 1.2 2013/02/08 01:27:01 takayama Exp $
+%% $OpenXM: OpenXM/src/R/r-packages/hgm/man/hgm-package.Rd,v 1.11 2015/03/21 22:49:34 takayama Exp $
 \name{hgm-package}
 \alias{hgm-package}
 \alias{HGM}
@@ -8,9 +8,9 @@
 HGM
 }
 \description{
-The holonomic gradient method (HGM, hgm) gives a way to evaluate normalization
+The holonomic gradient method (HGM, hgm) gives a way to evaluate normalizing
   constants of unnormalized probability distributions by utilizing holonomic 
-  systems of differential equations. 
+  systems of differential or difference equations. 
   The holonomic gradient descent (HGD, hgd) gives a method
   to find maximal likelihood estimates by utilizing the HGM.
 }
@@ -18,22 +18,15 @@ The holonomic gradient method (HGM, hgm) gives a way t
 \tabular{ll}{
 Package: \tab hgm\cr
 Type: \tab Package\cr
-Version: \tab 1.0\cr
-Date: \tab 2013-02-07\cr
 License: \tab GPL-2\cr
 LazyLoad: \tab yes\cr
 }
 The HGM and HGD are proposed in the paper below.
-This method based on the fact that a broad class of normalization constants
+This method based on the fact that a broad class of normalizing constants
 of unnormalized probability distributions belongs to the class of
 holonomic functions, which are solutions of holonomic systems of linear
 partial differential equations.
 }
-\author{
-\itemize{
-\item Nobuki Takayama (takayama@math.kobe-u.ac.jp)
-}
-}
 \note{
   This package includes a small subset of the Gnu scientific library codes
   (\url{http://www.gnu.org/software/gsl/}).
@@ -45,12 +38,13 @@ partial differential equations.
 }
 \references{
 \itemize{
-\item  Hiromasa Nakayama, Kenta Nishiyama, Masayuki Noro, Katsuyoshi Ohara,
-  Tomonari Sei, Nobuki Takayama, Akimichi Takemura,
+\item  [N3OST2]  Hiromasa Nakayama, Kenta Nishiyama, Masayuki Noro, Katsuyoshi Ohara,
+Tomonari Sei, Nobuki Takayama, Akimichi Takemura,
 Holonomic Gradient Descent  and its Application to Fisher-Bingham Integral,
 Advances in Applied Mathematics 47 (2011), 639--658, 
 \url{http://dx.doi.org/10.1016/j.aam.2011.03.001}
-
+\item [dojo] Edited by T.Hibi,  Groebner Bases: Statistics and Software Systems, Springer, 2013,
+\url{http://dx.doi.org/10.1007/978-4-431-54574-3}
 \item  \url{http://www.openxm.org}
 }
 }
@@ -60,10 +54,19 @@ Advances in Applied Mathematics 47 (2011), 639--658, 
 \keyword{ HGM }
 \keyword{ HGD }
 \seealso{
-\code{\link{hgm.so3nc}}
+\code{\link{hgm.ncBingham}},
+\code{\link{hgm.ncorthant}},
+\code{\link{hgm.ncso3}},
+\code{\link{hgm.pwishart}},
+\code{\link{hgm.Rhgm}}
+\code{\link{hgm.z.mleFBByOptim}},
 }
 \examples{
 \dontrun{
-example(hgm.so3nc)
+example(hgm.ncBingham)
+example(hgm.ncorthant)
+example(hgm.ncso3)
+example(hgm.pwishart)
+example(hgm.Rhgm)
 }
 }