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Revision 1.21, Mon May 30 00:38:18 2016 UTC (8 years, 1 month ago) by takayama
Branch: MAIN
Changes since 1.20: +2 -2 lines

If evaluation of pFq is near the radius of convergence, it outputs the warning.
See SERIES_ADMISSIBLE_RADIUS.
Example:
plot(hgm.p2wishart(m=2,beta=c(20,0.03),q0=0.3,q=300,autoplot=1))
plot(hgm.p2wishart(m=2,beta=c(20,0.03),q0=0.1,q=300,autoplot=1))

Package: hgm
Type: Package
Depends: R (>= 2.6.0), deSolve
Title: Holonomic Gradient Method and Gradient Descent
Version: 1.16
Date: 2016-05-30
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