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Revision 1.27, Thu Apr 7 00:56:44 2022 UTC (2 years, 1 month ago) by takayama
Branch: MAIN
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Package: hgm
Type: Package
Depends: R (>= 2.6.0), deSolve
Title: Holonomic Gradient Method and Gradient Descent
Version: 1.20
Date: 2022-04-07
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
NeedsCompilation: yes
Packaged: 2022-04-07 05:29:42 UTC; taka