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Revision 1.23, Wed Mar 22 00:42:56 2017 UTC (7 years, 3 months ago) by takayama
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Package: hgm
Type: Package
Depends: R (>= 2.6.0), deSolve
Title: Holonomic Gradient Method and Gradient Descent
Version: 1.17
Date: 2017-03-22
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, hgm) gives a way to evaluate normalization
  constants of unnormalized probability distributions by utilizing holonomic 
  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