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Revision 1.10, Mon Mar 31 00:49:51 2014 UTC (10 years, 3 months ago) by takayama
Branch: MAIN
Changes since 1.9: +3 -3 lines

hgm.ncBingham is an alias to hgm.se.hgm.Bingham.
Example.
> library(hgm)
Loading required package: deSolve
> hgm.ncBingham(c(1,3,5));
[1] 17.640021  2.371808  4.166681  9.192789
> hgm.ncBingham(c(1,3,5,6));
[1] 39.918359  3.948743  6.039318 10.854341 15.742235
> hgm.ncBingham(c(1,3,5,6,10));
[1] 302.18060  18.39045  24.12517  34.42539  43.00941 165.81628
> hgm.ncBingham(c(1,3,5,6,10,12));
[1] 1359.53150   65.15867   80.34557  104.24621  121.92847  304.56343  623.78715
> hgm.ncBingham(c(1,3,5,6,10,12,13));
[1] 3746.9919  157.2332  188.3426  234.1278  265.9428  539.4425  924.3876
[8] 1292.3312

Package: hgm
Type: Package
Depends: R (>= 2.6.0)
Depends: deSolve
Title: Holonomic gradient method and gradient descent
Version: 1.7
Date: 2014-03-31
Author: Nobuki Takayama, Tamio Koyama, Tomonari Sei, Kenta Nishiyama, Hiromasa Nakayama
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 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