Package: hgm
Type: Package
Depends: R (>= 2.6.0), deSolve
Title: Holonomic Gradient Method and Gradient Descent
Version: 1.23
Date: 2023-01-21
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
NeedsCompilation: yes
Packaged: 2023-01-31 17:55:25 UTC; nobuki
Repository: CRAN
Date/Publication: 2023-01-31 22:10:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 19:45:59 UTC; unix
Archs: hgm.so.dSYM
