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version 1.12, 2014/04/09 05:11:48 version 1.27, 2022/04/07 00:56:44
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 Package: hgm  Package: hgm
 Type: Package  Type: Package
 Depends: R (>= 2.6.0)  Depends: R (>= 2.6.0), deSolve
 Depends: deSolve  Title: Holonomic Gradient Method and Gradient Descent
 Title: Holonomic gradient method and gradient descent  Version: 1.20
 Version: 1.8  Date: 2022-04-07
 Date: 2014-04-09  
 Author: Nobuki Takayama, Tamio Koyama, Tomonari Sei, Hiromasa Nakayama, Kenta Nishiyama  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, 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
   systems of differential equations. The holonomic gradient descent (HGD, hgd) gives a method    systems of differential or difference 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-2  License: GPL-2
 LazyLoad: yes  LazyLoad: yes
 URL: http://www.openxm.org  URL: http://www.openxm.org
   NeedsCompilation: yes
   Packaged: 2022-04-07 05:29:42 UTC; taka
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