{ "_id": "6addb6839c8ebd685a2a6f0b", "Package": "hgm", "Type": "Package", "Title": "Holonomic Gradient Method and Gradient Descent", "Version": "1.23", "Date": "2023-01-21", "Author": "Nobuki Takayama, Tamio Koyama, Tomonari Sei, Hiromasa Nakayama,\nKenta Nishiyama", "Maintainer": "Nobuki Takayama ", "Description": "The holonomic gradient method (HGM, hgm) gives a way to\nevaluate normalization constants of unnormalized probability\ndistributions by utilizing holonomic systems of differential or\ndifference equations. The holonomic gradient descent (HGD, hgd)\ngives a method to find maximal likelihood estimates by\nutilizing the HGM.", "License": "GPL-2", "LazyLoad": "yes", "URL": "http://www.openxm.org", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-25 07:53:35 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-01-31 21:10:02 UTC", "RemoteUrl": "https://github.com/cran/hgm", "RemoteRef": "HEAD", "RemoteSha": "c88285545bd81037a82ea65f9946121f4fda7ea8", "_user": "cran", "_type": "src", "_file": "hgm_1.23.tar.gz", "_fileid": "https://r2.ropensci.org/37bed1031a416abc4846e567c9d1f819b271c680cbde1351237c12415150be66", "_filesize": 203988, "_sha256": "37bed1031a416abc4846e567c9d1f819b271c680cbde1351237c12415150be66", "_expires": "2027-02-02T07:57:53.000Z", "_created": "2026-10-25T07:53:35.000Z", "_published": "2026-10-25T07:57:55.225Z", "_upstream": "https://github.com/cran/hgm", "_status": "success", "_maintainer": { "name": "Nobuki Takayama", 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