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Revision 1.21, Mon May 30 00:38:18 2016 UTC (8 years, 3 months ago) by takayama
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