{"id":21985806,"url":"https://github.com/m-clark/r-models","last_synced_at":"2025-06-15T04:07:30.257Z","repository":{"id":74459582,"uuid":"129556678","full_name":"m-clark/R-models","owner":"m-clark","description":"A quick reference for how to run many models in R. 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While it covers a lot of ground, it is not meant to be exhaustive, but rather, it provides an easy reference for those new to R, someone trying out an unfamiliar (but otherwise common) technique, or those just interested in a comparison to similar approaches in other environments.  It can get you quickly started with many common models and extensions.\n\nModels covered:\n\n\u003cspan style=\"color:#00aaff\"\u003eGLM\u003c/span\u003e, \u003cspan style=\"color:#ff5500\"\u003eother distributions\u003c/span\u003e and \u003cspan style=\"color:#00aaff\"\u003ecategorical outcomes\u003c/span\u003e, \u003cspan style=\"color:#ff5500\"\u003eregularized models\u003c/span\u003e, \u003cspan style=\"color:#00aaff\"\u003emixed models\u003c/span\u003e, \u003cspan style=\"color:#ff5500\"\u003eadditive models\u003c/span\u003e, \u003cspan style=\"color:#00aaff\"\u003esurvival analysis\u003c/span\u003e, \u003cspan style=\"color:#ff5500\"\u003esurvey weighting\u003c/span\u003e, \u003cspan style=\"color:#00aaff\"\u003ePCA/FA\u003c/span\u003e, \u003cspan style=\"color:#ff5500\"\u003eSEM\u003c/span\u003e, \u003cspan style=\"color:#00aaff\"\u003emixture models/cluster analysis\u003c/span\u003e, \u003cspan style=\"color:#ff5500\"\u003etime series\u003c/span\u003e, \u003cspan style=\"color:#00aaff\"\u003espatial models\u003c/span\u003e, \u003cspan style=\"color:#ff5500\"\u003egraphical models\u003c/span\u003e, \u003cspan style=\"color:#00aaff\"\u003emachine learning\u003c/span\u003e, \u003cspan style=\"color:#ff5500\"\u003eBayesian analysis\u003c/span\u003e, \u003cspan style=\"color:#00aaff\"\u003etext analysis\u003c/span\u003e, dealing with \u003cspan style=\"color:#ff5500\"\u003emissing data\u003c/span\u003e.\n\nIn addition, notable packages and recommended readings are provided.\n\nYou can find the current document [here](https://m-clark.github.io/R-models/).\n\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fm-clark%2Fr-models","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fm-clark%2Fr-models","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fm-clark%2Fr-models/lists"}