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Revision 1.9, Tue Mar 25 02:25:26 2014 UTC (10 years, 3 months ago) by takayama
Branch: MAIN
Changes since 1.8: +5 -4 lines

hgm.se.hgm function is added.
hgm.Rhgm.demo1() shows an example.
The source of this demo is in se_demo.R
(commit by a proxy of Tomonari Sei)

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
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
  to find maximal likelihood estimates by utilizing the HGM.
License: GPL-2
LazyLoad: yes
URL: http://www.openxm.org