{ "_id": "6a5b16409baadeef8ab4b1c9", "Package": "MADMMplasso", "Title": "Multi Variate Multi Response ADMM with Interaction Effects", "Version": "1.0.1", "Authors@R": "c(\nperson(\ngiven = \"Theophilus Quachie\", family = \"Asenso\",\nemail = \"t.q.asenso@medisin.uio.no\",\nrole = \"aut\"\n),\nperson(\ngiven = \"Manuela\", family = \"Zucknick\",\nemail = \"Manuela.zucknick@medisin.uio.no\",\nrole = \"aut\"\n),\nperson(\ngiven = \"Waldir\", family = \"Leoncio\",\nemail = \"w.l.netto@medisin.uio.no\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-6719-6162\")\n),\nperson(\ngiven = \"Chi\", family = \"Zhang\",\nemail = \"andreachizhang@yahoo.com\",\nrole = \"aut\"\n)\n)", "Description": "This system allows one to model a multi-variate,\nmulti-response problem with interaction effects. It combines\nthe usual squared error loss for the multi-response problem\nwith some penalty terms to encourage responses that correlate\nto form groups and also allow for modeling main and interaction\neffects that exit within the covariates. The optimization\nmethod employed is the Alternating Direction Method of\nMultipliers (ADMM). 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