Holonomic Gradient Method and Gradient Descent R package hgm version 1.23 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. Software Depends: R (>= 2.6.0), deSolve Nobuki Takayama <takayama@math.kobe-u.ac.jp> Comprehensive R Archive Network (CRAN) Nobuki Takayama, Tamio Koyama, Tomonari Sei, Hiromasa Nakayama, Kenta Nishiyama GPL-2 2023-01-31 application/tgz https://CRAN.R-project.org/package=hgm doi:10.32614/CRAN.package.hgm