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Revision 1.19, Mon Feb 15 07:42:07 2016 UTC (8 years, 4 months ago) by takayama
Branch: MAIN
Changes since 1.18: +2 -2 lines

Added an explanation on error control of the adaptive Runge-Kutta.
See todo in mh.c on a crash of R by an example in note.txt

Package: hgm
Type: Package
Depends: R (>= 2.6.0), deSolve
Title: Holonomic Gradient Method and Gradient Descent
Version: 1.14
Date: 2016-02-15
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