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version 1.1, 2013/02/07 07:38:22 version 1.12, 2014/04/09 05:11:48
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 Package: hgm  Package: hgm
 Type: Package  Type: Package
 Depends: R (>= 2.6.0)  Depends: R (>= 2.6.0)
 Title: Holonomic gradient method and gradient  Depends: deSolve
 Version: 0.8  Title: Holonomic gradient method and gradient descent
 Date: 2013-02-07  Version: 1.8
 Author: Nobuki Takayama,  Date: 2014-04-09
   Author: Nobuki Takayama, Tamio Koyama, Tomonari Sei, Hiromasa Nakayama, Kenta Nishiyama
 Maintainer: Nobuki Takayama <takayama@math.kobe-u.ac.jp>  Maintainer: Nobuki Takayama <takayama@math.kobe-u.ac.jp>
 Description: The holonomic gradient method (hgm) gives a way to evaluate normalization  Description: The holonomic gradient method (HGM, hgm) gives a way to evaluate normalization
   constants of unnormalized probability distributions by utilizing holonomic    constants of unnormalized probability distributions by utilizing holonomic
   system of differential equations. The holonomic gradient descent gives a method    systems of differential equations. The holonomic gradient descent (HGD, hgd) gives a method
   to find maximal likelihood estimates by utilizing the hgm.    to find maximal likelihood estimates by utilizing the HGM.
 License: GPL  License: GPL-2
 LazyLoad: yes  LazyLoad: yes
 URL: http://www.openxm.org  URL: http://www.openxm.org
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