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  "Title": "Differential Geometric Least Angle Regression",
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  "Date": "2023-10-08",
  "Authors@R": "c(person(given = \"Luigi\", family = \"Augugliaro\", email = \"luigi.augugliaro@unipa.it\", role = c(\"aut\", \"cre\")),\nperson(given = \"Angelo\", family = \"Mineo\", role = \"aut\"),\nperson(given = \"Ernst\", family = \"Wit\", role = \"aut\"),\nperson(given = \"Hassan\", family = \"Pazira\", role = \"aut\"),\nperson(given = \"Michael\", family = \"Wichura\", role = c(\"ctb\", \"cph\")),\nperson(given = \"John\", family = \"Burkardt\", role = c(\"ctb\", \"cph\")))",
  "Author": "Luigi Augugliaro [aut, cre], Angelo Mineo [aut], Ernst Wit\n[aut], Hassan Pazira [aut], Michael Wichura [ctb, cph], John\nBurkardt [ctb, cph]",
  "Maintainer": "Luigi Augugliaro <luigi.augugliaro@unipa.it>",
  "Description": "Differential geometric least angle regression method for\nfitting sparse generalized linear models. In this version of\nthe package, the user can fit models specifying Gaussian,\nPoisson, Binomial, Gamma and Inverse Gaussian family.\nFurthermore, several link functions can be used to model the\nrelationship between the conditional expected value of the\nresponse variable and the linear predictor. The solution curve\ncan be computed using an efficient predictor-corrector or a\ncyclic coordinate descent algorithm, as described in the paper\nlinked to via the URL below.",
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    "coef.dglars",
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    "d2mu_de2_mk",
    "d2th_dmu2_mk",
    "dglars",
    "dglars_ccd",
    "dglars_pc",
    "dglars.fit",
    "gdf",
    "grcv",
    "logLik.dglars",
    "make_action",
    "make_coef",
    "make_cvdglars",
    "make_dglars",
    "make_ru",
    "make_summary_table",
    "phihat",
    "plot.cvdglars",
    "plot.dglars",
    "predict.dglars",
    "print.cvdglars",
    "print.dglars",
    "print.gof_dglars",
    "print.loglik_dglars",
    "setDiff",
    "summary.dglars"
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      ],
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      "table": true,
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    },
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      "title": "Duke breast cancer microarray experiment",
      "object": "duke",
      "file": "duke.RData",
      "class": [
        "data.frame"
      ],
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      "rows": 46,
      "table": true,
      "tojson": true
    }
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    {
      "page": "dglars-package",
      "title": "Differential Geometric Least Angle Regression",
      "topics": [
        "dglars-package"
      ]
    },
    {
      "page": "AIC.dglars",
      "title": "Akaike's An Information Criterion",
      "topics": [
        "AIC",
        "AIC.dglars",
        "BIC",
        "BIC.dglars"
      ]
    },
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      "topics": [
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      ]
    },
    {
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      "title": "Breast Cancer microarray experiment",
      "topics": [
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      "title": "Extract the dgLARS Coefficient Path",
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        "coef.dglars"
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        "cvdglars.fit"
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      "title": "dgLARS Solution Curve for GLM",
      "topics": [
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        "dglars.fit"
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