Package: hgm 1.23

Nobuki Takayama

hgm: Holonomic Gradient Method and Gradient Descent

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.

Authors:Nobuki Takayama, Tamio Koyama, Tomonari Sei, Hiromasa Nakayama, Kenta Nishiyama

hgm_1.23.tar.gz
hgm_1.23.tar.gz(r-4.5-noble)hgm_1.23.tar.gz(r-4.4-noble)
hgm.pdf |hgm.html✨
hgm/json (API)

# Install 'hgm' in R:
install.packages('hgm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas

1.00 score 1 stars 9 scripts 216 downloads 7 exports 1 dependencies

Last updated 2 years agofrom:c88285545b. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 09 2024
R-4.5-linux-x86_64NOTEDec 09 2024

Exports:hgm.ncBinghamhgm.ncorthanthgm.ncso3hgm.p2wisharthgm.pwisharthgm.Rhgmhgm.Rhgm.demo1

Dependencies:deSolve