Package: hgm 1.23
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:
hgm_1.23.tar.gz
hgm_1.23.zip(r-4.7-x86_64)hgm_1.23.zip(r-4.7-arm64)hgm_1.23.zip(r-4.6-x86_64)hgm_1.23.zip(r-4.6-arm64)hgm_1.23.zip(r-4.5-x86_64)
hgm_1.23.tgz(r-4.6-x86_64)hgm_1.23.tgz(r-4.6-arm64)hgm_1.23.tgz(r-4.5-x86_64)hgm_1.23.tgz(r-4.5-arm64)
hgm_1.23.tar.gz(r-4.7-arm64)hgm_1.23.tar.gz(r-4.7-x86_64)hgm_1.23.tar.gz(r-4.6-arm64)hgm_1.23.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
hgm/json (API)
| # Install 'hgm' in R: |
| install.packages('hgm', repos = c('https://nobuki-takayama.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:c88285545b. Checks:13 NOTE, 1 OK, 1 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 75 | ||
| linux-devel-x86_64 | NOTE | 96 | ||
| source / vignettes | OK | 137 | ||
| linux-release-arm64 | NOTE | 80 | ||
| linux-release-x86_64 | NOTE | 91 | ||
| macos-release-arm64 | NOTE | 100 | ||
| macos-release-x86_64 | NOTE | 373 | ||
| macos-oldrel-arm64 | NOTE | 89 | ||
| macos-oldrel-x86_64 | NOTE | 343 | ||
| windows-devel-arm64 | NOTE | 318 | ||
| windows-devel-x86_64 | NOTE | 96 | ||
| windows-release-arm64 | NOTE | 338 | ||
| windows-release-x86_64 | NOTE | 82 | ||
| windows-oldrel-x86_64 | NOTE | 82 | ||
| wasm-release | FAIL | 77 |
Exports:hgm.ncBinghamhgm.ncorthanthgm.ncso3hgm.p2wisharthgm.pwisharthgm.Rhgmhgm.Rhgm.demo1
Dependencies:deSolve
