{ "_id": "6a15586eacfb0bcc41d5ea4c", "Package": "hglm", "Type": "Package", "Title": "Hierarchical Generalized Linear Models", "Version": "2.2-1", "Date": "2019-04-04", "Author": "Moudud Alam, Lars Ronnegard, Xia Shen", "Maintainer": "Xia Shen ", "Description": "Implemented here are procedures for fitting hierarchical\ngeneralized linear models (HGLM). It can be used for linear\nmixed models and generalized linear mixed models with random\neffects for a variety of links and a variety of distributions\nfor both the outcomes and the random effects. Fixed effects can\nalso be fitted in the dispersion part of the mean model. As\nstatistical models, HGLMs were initially developed by Lee and\nNelder (1996) . We\nprovide an implementation (Ronnegard, Alam and Shen 2010)\n\nfollowing Lee, Nelder and Pawitan (2006) \nwith algorithms extended for spatial modeling (Alam, Ronnegard\nand Shen 2015)\n.", "BugReports": "https://r-forge.r-project.org/tracker/?group_id=558", "License": "GPL (>= 2)", "LazyLoad": "yes", "Packaged": { "Date": "2026-05-26 08:20:26 UTC", "User": "root" }, "NeedsCompilation": "no", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2019-04-04 15:20:07 UTC", "RemoteUrl": "https://github.com/cran/hglm", "RemoteRef": "HEAD", "RemoteSha": "59125b70c7ada5787ae167ef828c24ac419c053f", "MD5sum": "6e4056ab20d7720cafcd96d8abf16531", "_user": "cran", "_type": "src", "_file": "hglm_2.2-1.tar.gz", "_fileid": "344895636ee416d41acf502990e2672149a92161ab9a6e784976e508ae7bdff8", "_filesize": 898100, "_sha256": "344895636ee416d41acf502990e2672149a92161ab9a6e784976e508ae7bdff8", "_created": "2026-05-26T08:20:26.000Z", "_published": "2026-05-26T08:23:10.318Z", "_distro": 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