version 1.1, 2013/02/07 07:38:22 |
version 1.7, 2014/03/16 03:11:07 |
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Type: Package |
Type: Package |
Depends: R (>= 2.6.0) |
Depends: R (>= 2.6.0) |
Title: Holonomic gradient method and gradient |
Title: Holonomic gradient method and gradient |
Version: 0.8 |
Version: 1.4 |
Date: 2013-02-07 |
Date: 2014-03-16 |
Author: Nobuki Takayama, |
Author: Nobuki Takayama, |
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 |