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: 2026-10-07 11:21:16 UTC; root
Repository: https://nobuki-takayama.r-universe.dev
Date/Publication: 2023-01-31 21:10:02 UTC
RemoteUrl: https://github.com/cran/hgm
RemoteRef: HEAD
RemoteSha: c88285545bd81037a82ea65f9946121f4fda7ea8