{ "_id": "6a1edc68b401979e7340fcad", "Package": "cglasso", "Version": "2.0.7", "Date": "2024-02-10", "Type": "Package", "Title": "Conditional Graphical LASSO for Gaussian Graphical Models with\nCensored and Missing Values", "Authors@R": "c(person(given = \"Luigi\", family = \"Augugliaro\", email = \"luigi.augugliaro@unipa.it\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-4603-7541\")),\nperson(given = \"Gianluca\", family = \"Sottile\", role = \"aut\", comment = c(ORCID = \"0000-0001-9347-7251\")),\nperson(given = \"Ernst C.\", family = \"Wit\", role = \"aut\", comment = c(ORCID = \"0000-0002-3671-9610\")),\nperson(given = \"Veronica\", family = \"Vinciotti\", role = \"aut\", comment = c(ORCID = \"0000-0002-2625-7977\")))", "Description": "Conditional graphical lasso estimator is an extension of\nthe graphical lasso proposed to estimate the conditional\ndependence structure of a set of p response variables given q\npredictors. 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