{
  "_id": "6a13f9f1acfb0bcc41d34e0f",
  "Package": "sn",
  "Version": "2.1.3",
  "Date": "2026-02-24",
  "Title": "The Skew-Normal and Related Distributions Such as the Skew-t and\nthe SUN",
  "Authors@R": "person(given = \"Adelchi\", family = \"Azzalini\", \nemail = \"adelchi.azzalini@unipd.it\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-7583-1269\"))",
  "Maintainer": "Adelchi Azzalini <adelchi.azzalini@unipd.it>",
  "VignetteBuilder": "R.rsp",
  "Description": "Build and manipulate probability distributions of the\nskew-normal family and some related ones, notably the skew-t\nand the SUN families. For the skew-normal and the skew-t\ndistributions, statistical methods are provided for data\nfitting and model diagnostics, in the univariate and the\nmultivariate case.",
  "License": "GPL-2 | GPL-3",
  "URL": "http://azzalini.stat.unipd.it/SN/",
  "Encoding": "UTF-8",
  "NeedsCompilation": "no",
  "RoxygenNote": "7.3.3",
  "Packaged": {
    "Date": "2026-05-25 07:24:31 UTC",
    "User": "root"
  },
  "Author": "Adelchi Azzalini [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-7583-1269>)",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-02-24 10:00:02 UTC",
  "RemoteUrl": "https://github.com/cran/sn",
  "RemoteRef": "HEAD",
  "RemoteSha": "3fef8aaf729e88efeca1f8af3954462e379468fe",
  "MD5sum": "31a1ec898f160d3fa57327620230a964",
  "_user": "cran",
  "_type": "src",
  "_file": "sn_2.1.3.tar.gz",
  "_fileid": "046f9074388b60b2782fbf45806734cc52eb7bed7f2f600119de11aae3cb6527",
  "_filesize": 1373002,
  "_sha256": "046f9074388b60b2782fbf45806734cc52eb7bed7f2f600119de11aae3cb6527",
  "_created": "2026-05-25T07:24:31.000Z",
  "_published": "2026-05-25T07:27:45.876Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77673205773,
      "time": 136,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7193655922"
    },
    {
      "job": 77673205951,
      "time": 149,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7193658900"
    },
    {
      "job": 77672846234,
      "time": 182,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7193621835"
    },
    {
      "job": 77673205808,
      "time": 98,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7193646701"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/26388520106",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/sn",
  "_commit": {
    "id": "3fef8aaf729e88efeca1f8af3954462e379468fe",
    "author": "Adelchi Azzalini <adelchi.azzalini@unipd.it>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 2.1.3\n",
    "time": 1771927202
  },
  "_maintainer": {
    "name": "Adelchi Azzalini",
    "email": "adelchi.azzalini@unipd.it",
    "orcid": "0000-0002-7583-1269"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.0.0",
      "role": "Depends"
    },
    {
      "package": "methods",
      "role": "Depends"
    },
    {
      "package": "stats4",
      "role": "Depends"
    },
    {
      "package": "mnormt",
      "version": ">= 2.0.0",
      "role": "Imports"
    },
    {
      "package": "numDeriv",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "quantreg",
      "role": "Imports"
    },
    {
      "package": "R.rsp",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 106,
  "_updates": [
    {
      "week": "2026-04",
      "n": 1
    },
    {
      "week": "2026-09",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "2.1.2",
      "date": "2026-01-25"
    },
    {
      "name": "2.1.3",
      "date": "2026-02-24"
    }
  ],
  "_stars": 3,
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 19737,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/sn"
  },
  "_mentions": 7,
  "_searchresults": 950,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/sn.html",
    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.22",
      "date": "2000-09-24"
    },
    {
      "version": "0.22.1",
      "date": "2001-05-17"
    },
    {
      "version": "0.22-2",
      "date": "2002-01-08"
    },
    {
      "version": "0.30",
      "date": "2002-07-02"
    },
    {
      "version": "0.32",
      "date": "2003-07-17"
    },
    {
      "version": "0.32-1",
      "date": "2004-02-16"
    },
    {
      "version": "0.32-2",
      "date": "2004-03-14"
    },
    {
      "version": "0.33",
      "date": "2005-04-12"
    },
    {
      "version": "0.3-5",
      "date": "2006-01-17"
    },
    {
      "version": "0.4-0",
      "date": "2006-04-11"
    },
    {
      "version": "0.4-1",
      "date": "2006-10-02"
    },
    {
      "version": "0.4-2",
      "date": "2006-10-27"
    },
    {
      "version": "0.4-3",
      "date": "2007-10-07"
    },
    {
      "version": "0.4-4",
      "date": "2007-10-08"
    },
    {
      "version": "0.4-5",
      "date": "2008-07-29"
    },
    {
      "version": "0.4-6",
      "date": "2008-09-14"
    },
    {
      "version": "0.4-8",
      "date": "2008-11-19"
    },
    {
      "version": "0.4-10",
      "date": "2008-12-23"
    },
    {
      "version": "0.4-11",
      "date": "2009-01-30"
    },
    {
      "version": "0.4-12",
      "date": "2009-03-22"
    },
    {
      "version": "0.4-14",
      "date": "2010-01-17"
    },
    {
      "version": "0.4-15",
      "date": "2010-04-02"
    },
    {
      "version": "0.4-16",
      "date": "2010-08-30"
    },
    {
      "version": "0.4-17",
      "date": "2011-07-23"
    },
    {
      "version": "0.4-18",
      "date": "2013-05-01"
    },
    {
      "version": "1.0-0",
      "date": "2014-01-07"
    },
    {
      "version": "1.1-0",
      "date": "2014-08-04"
    },
    {
      "version": "1.1-1",
      "date": "2014-10-30"
    },
    {
      "version": "1.1-2",
      "date": "2014-12-01"
    },
    {
      "version": "1.2-0",
      "date": "2015-03-25"
    },
    {
      "version": "1.2-1",
      "date": "2015-04-29"
    },
    {
      "version": "1.2-2",
      "date": "2015-06-05"
    },
    {
      "version": "1.2-3",
      "date": "2015-07-16"
    },
    {
      "version": "1.2-4",
      "date": "2015-08-25"
    },
    {
      "version": "1.3-0",
      "date": "2015-11-11"
    },
    {
      "version": "1.4-0",
      "date": "2016-06-30"
    },
    {
      "version": "1.5-0",
      "date": "2017-02-10"
    },
    {
      "version": "1.5-1",
      "date": "2017-11-23"
    },
    {
      "version": "1.5-2",
      "date": "2018-04-24"
    },
    {
      "version": "1.5-3",
      "date": "2018-11-08"
    },
    {
      "version": "1.5-4",
      "date": "2019-05-14"
    },
    {
      "version": "1.5-5",
      "date": "2020-01-31"
    },
    {
      "version": "1.6-0",
      "date": "2020-03-28"
    },
    {
      "version": "1.6-1",
      "date": "2020-04-01"
    },
    {
      "version": "1.6-2",
      "date": "2020-05-26"
    },
    {
      "version": "2.0.0",
      "date": "2021-03-28"
    },
    {
      "version": "2.0.1",
      "date": "2021-11-26"
    },
    {
      "version": "2.0.2",
      "date": "2022-03-08"
    },
    {
      "version": "2.1.0",
      "date": "2022-08-11"
    },
    {
      "version": "2.1.1",
      "date": "2023-04-04"
    },
    {
      "version": "2.1.2",
      "date": "2026-01-25"
    },
    {
      "version": "2.1.3",
      "date": "2026-02-24"
    }
  ],
  "_exports": [
    "affineTransSECdistr",
    "affineTransSUNdistr",
    "blockDiag",
    "coef",
    "coef.mselm",
    "coef.selm",
    "conditionalSECdistr",
    "conditionalSUNdistr",
    "confint",
    "confint.selm",
    "convertCSN2SUNpar",
    "convertSN2SUNdistr",
    "convolutionSUNdistr",
    "cp2dp",
    "dmsc",
    "dmsn",
    "dmst",
    "dmSymmModulated",
    "dp2cp",
    "dp2op",
    "dsc",
    "dsn",
    "dst",
    "dsun",
    "dSymmModulated",
    "duplicationMatrix",
    "extractSECdistr",
    "fitdistr.grouped",
    "fitted",
    "fitted.mselm",
    "fitted.selm",
    "fournum",
    "galton_moors2alpha_nu",
    "joinSUNdistr",
    "logLik",
    "makeSECdistr",
    "makeSUNdistr",
    "marginalSECdistr",
    "marginalSUNdistr",
    "mean",
    "modeSECdistr",
    "MPpenalty",
    "msn.mle",
    "msn.mple",
    "mst.mple",
    "mst.prelimFit",
    "op2dp",
    "plot",
    "plot.fitdistr.grouped",
    "plot.mselm",
    "plot.selm",
    "plot2D.SymmModulated",
    "pmsc",
    "pmsn",
    "pmst",
    "pprodn2",
    "pprodt2",
    "predict",
    "predict.selm",
    "profile",
    "profile.selm",
    "psc",
    "psn",
    "pst",
    "psun",
    "Qpenalty",
    "qprodt2",
    "qsc",
    "qsn",
    "qst",
    "residuals",
    "residuals.mselm",
    "residuals.selm",
    "rmsc",
    "rmsn",
    "rmst",
    "rmSymmModulated",
    "rsc",
    "rsn",
    "rst",
    "rsun",
    "rSymmModulated",
    "sd",
    "sd.default",
    "selm",
    "selm.fit",
    "show",
    "sn.cumulants",
    "sn.infoMv",
    "sn.infoUv",
    "sn.mple",
    "spread.grouped",
    "st.cumulants",
    "st.infoMv",
    "st.infoUv",
    "st.mple",
    "st.prelimFit",
    "summary",
    "sunMardia",
    "sunMean",
    "sunVcov",
    "T.Owen",
    "tr",
    "vcov",
    "vech",
    "vech2mat",
    "zeta"
  ],
  "_datasets": [
    {
      "name": "ais",
      "title": "Australian Institute of Sport data",
      "object": "ais",
      "file": "ais.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "sex",
        "sport",
        "RCC",
        "WCC",
        "Hc",
        "Hg",
        "Fe",
        "BMI",
        "SSF",
        "Bfat",
        "LBM",
        "Ht",
        "Wt"
      ],
      "rows": 202,
      "table": true,
      "tojson": true
    },
    {
      "name": "barolo",
      "title": "Price of Barolo wine",
      "object": "barolo",
      "file": "barolo.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "reseller",
        "vintage",
        "volume",
        "price",
        "age"
      ],
      "rows": 307,
      "table": true,
      "tojson": true
    },
    {
      "name": "frontier",
      "title": "Simulated sample from a skew-normal distribution",
      "object": "frontier",
      "file": "frontier.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "wines",
      "title": "Piedmont wines data",
      "object": "wines",
      "file": "wines.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "wine",
        "alcohol",
        "sugar",
        "acidity",
        "tartaric",
        "malic",
        "uronic",
        "pH",
        "ash",
        "alcal_ash",
        "potassium",
        "calcium",
        "magnesium",
        "phosphate",
        "chloride",
        "phenols",
        "flavanoids",
        "nonflavanoids",
        "proanthocyanins",
        "colour",
        "hue",
        "OD_dw",
        "OD_fl",
        "glycerol",
        "butanediol",
        "nitrogen",
        "proline",
        "methanol"
      ],
      "rows": 178,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "sn-package",
      "title": "Package 'sn': overview, background and history",
      "concept": [
        "skew-elliptical distribution",
        "skew-normal distribution",
        "skew-t distribution",
        "symmetric distribution",
        "symmetry-modulated distribution",
        "unified skew-normal distribution"
      ],
      "topics": [
        "sn-package",
        "SN"
      ]
    },
    {
      "page": "affineTransSECdistr",
      "title": "Affine transformations and marginals of a skew-elliptical distribution",
      "topics": [
        "affineTransSECdistr",
        "marginalSECdistr"
      ]
    },
    {
      "page": "ais",
      "title": "Australian Institute of Sport data",
      "topics": [
        "ais"
      ]
    },
    {
      "page": "barolo",
      "title": "Price of Barolo wine",
      "topics": [
        "barolo"
      ]
    },
    {
      "page": "coef.selm",
      "title": "Coefficients of objects created by 'selm'",
      "topics": [
        "coef,mselm-method",
        "coef,selm-method",
        "coef.mselm",
        "coef.selm"
      ]
    },
    {
      "page": "conditionalSECdistr",
      "title": "Skew-normal conditional distribution",
      "topics": [
        "conditionalSECdistr"
      ]
    },
    {
      "page": "confint.selm",
      "title": "Confidence intervals for parameters of a selm-class object",
      "concept": [
        "confidence interval"
      ],
      "topics": [
        "confint,selm-method",
        "confint.selm"
      ]
    },
    {
      "page": "convertCSN2SUNpar",
      "title": "Conversion of CSN parameters to SUN parameters",
      "concept": [
        "SUN distribution",
        "Unified Skew-Normal distribution",
        "CSN distribution",
        "Closed Skew-Normal distribution"
      ],
      "topics": [
        "convertCSN2SUNpar"
      ]
    },
    {
      "page": "convertSN2SUNdistr",
      "title": "Convert a SN distribution into a SUN",
      "concept": [
        "SUN distribution",
        "Unified Skew-Normal distribution"
      ],
      "topics": [
        "convertSN2SUNdistr"
      ]
    },
    {
      "page": "dmsn",
      "title": "Multivariate skew-normal distribution",
      "concept": [
        "skew-normal distribution",
        "multicariate skew-normal distribution"
      ],
      "topics": [
        "dmsn",
        "pmsn",
        "rmsn"
      ]
    },
    {
      "page": "dmst",
      "title": "Multivariate skew-t distribution and skew-Cauchy distribution",
      "concept": [
        "skew-t distribution",
        "multivariate skew-t distribution"
      ],
      "topics": [
        "dmsc",
        "dmst",
        "pmsc",
        "pmst",
        "rmsc",
        "rmst"
      ]
    },
    {
      "page": "dp2cp",
      "title": "Conversion between parametrizations of a skew-elliptical distribution",
      "topics": [
        "cp2dp",
        "dp2cp",
        "dp2op",
        "op2dp"
      ]
    },
    {
      "page": "dsc",
      "title": "Skew-Cauchy Distribution",
      "topics": [
        "dsc",
        "psc",
        "qsc",
        "rsc"
      ]
    },
    {
      "page": "dsn",
      "title": "Skew-Normal Distribution",
      "concept": [
        "skew-normal distribution"
      ],
      "topics": [
        "dsn",
        "psn",
        "qsn",
        "rsn"
      ]
    },
    {
      "page": "dst",
      "title": "Skew-t Distribution",
      "concept": [
        "skew-t distribution"
      ],
      "topics": [
        "dst",
        "pst",
        "qst",
        "rst"
      ]
    },
    {
      "page": "extractSECdistr",
      "title": "Extract the SEC error distribution from an object created by 'selm'",
      "concept": [
        "skew-elliptical distribution"
      ],
      "topics": [
        "extractSECdistr"
      ]
    },
    {
      "page": "fitdistr.grouped",
      "title": "Maximum-likelihood fitting of a univariate distribution from grouped data",
      "concept": [
        "grouped data",
        "multinomial distribution"
      ],
      "topics": [
        "fitdistr.grouped"
      ]
    },
    {
      "page": "fitdistr.grouped-class",
      "title": "Methods for objects of class created by 'fitdistr.grouped'",
      "concept": [
        "grouped data"
      ],
      "topics": [
        "coef.fitdistr.grouped",
        "fitdistr.grouped-class",
        "fitted.fitdistr.grouped",
        "logLik.fitdistr.grouped",
        "print.fitdistr.grouped",
        "summary.fitdistr.grouped",
        "vcov.fitdistr.grouped"
      ]
    },
    {
      "page": "fournum",
      "title": "Four-number summary of a numeric vector",
      "concept": [
        "quantile",
        "median",
        "variability",
        "asymmetry",
        "skewness",
        "kurtosis"
      ],
      "topics": [
        "fournum"
      ]
    },
    {
      "page": "frontier",
      "title": "Simulated sample from a skew-normal distribution",
      "topics": [
        "frontier"
      ]
    },
    {
      "page": "galton_moors2alpha_nu",
      "title": "Mapping of the (Galton-Bowley, Moors) measures to the (alpha, nu) parameters of a ST distribution",
      "concept": [
        "quantile",
        "asymmetry",
        "skewness",
        "kurtosis"
      ],
      "topics": [
        "galton2alpha",
        "galton_moors2alpha_nu"
      ]
    },
    {
      "page": "makeSECdistr",
      "title": "Build a skew-elliptically contoured distribution",
      "concept": [
        "skew-elliptical distribution"
      ],
      "topics": [
        "makeSECdistr"
      ]
    },
    {
      "page": "makeSUNdistr",
      "title": "Build an object representing a SUN distribution",
      "concept": [
        "SUN distribution",
        "Unified Skew-Normal distribution",
        "CSN distribution",
        "Closed Skew-Normal distribution"
      ],
      "topics": [
        "makeSUNdistr"
      ]
    },
    {
      "page": "matrix-op",
      "title": "vech, tr and other matrix operators",
      "concept": [
        "matrix operator",
        "duplication matrix"
      ],
      "topics": [
        "blockDiag",
        "duplicationMatrix",
        "tr",
        "vech",
        "vech2mat"
      ]
    },
    {
      "page": "modeSECdistr",
      "title": "The mode of a skew-elliptically contoured (SEC) distribution",
      "topics": [
        "modeSECdistr"
      ]
    },
    {
      "page": "overview-sn",
      "title": "Package 'sn': overview of the structure and main commands",
      "topics": [
        "overview-sn"
      ]
    },
    {
      "page": "plot.fitdistr.grouped",
      "title": "Plot an object generated by 'fitdistr.grouped'",
      "concept": [
        "grouped data"
      ],
      "topics": [
        "plot,fitdistr.grouped-method",
        "plot.fitdistr.grouped"
      ]
    },
    {
      "page": "plot.SECdistr",
      "title": "Plotting methods for classes 'SECdistrUv' and 'SECdistrMv'",
      "topics": [
        "plot,SECdistrMv,missing-method",
        "plot,SECdistrMv-method",
        "plot,SECdistrUv,missing-method",
        "plot,SECdistrUv-method",
        "plot.SECdistr",
        "plot.SECdistrMv",
        "plot.SECdistrUv"
      ]
    },
    {
      "page": "plot.selm",
      "title": "Diagnostic plots for 'selm' fits",
      "concept": [
        "QQ-plot"
      ],
      "topics": [
        "plot,mselm-method",
        "plot,selm-method",
        "plot.mselm",
        "plot.selm"
      ]
    },
    {
      "page": "plot.SUNdistr-method",
      "title": "Plotting method for class 'SUNdistr'",
      "topics": [
        "plot,SUNdistr,missing-method",
        "plot,SUNdistr-method",
        "plot.SUNdistr"
      ]
    },
    {
      "page": "pprodt2",
      "title": "The distribution function of the product of two jointly normal or Student's _t_ variables",
      "concept": [
        "bivariate normal distribution",
        "bivariate Student's t distribution",
        "product of two random variables"
      ],
      "topics": [
        "pprodn2",
        "pprodt2",
        "qprodt2"
      ]
    },
    {
      "page": "predict.selm",
      "title": "Predict method for selm-class objects",
      "concept": [
        "confidence interval",
        "tolerance interval"
      ],
      "topics": [
        "predict,selm-method",
        "predict.selm"
      ]
    },
    {
      "page": "profile.selm",
      "title": "Profile log-likelihood function of selm-class objects",
      "concept": [
        "profile log-likelihood function",
        "confidence interval",
        "confidence region"
      ],
      "topics": [
        "profile,selm-method",
        "profile.selm"
      ]
    },
    {
      "page": "Qpenalty",
      "title": "Penalty function for log-likelihood of 'selm' models",
      "concept": [
        "penalized likelihood",
        "prior distribution"
      ],
      "topics": [
        "MPpenalty",
        "Qpenalty"
      ]
    },
    {
      "page": "residuals.selm",
      "title": "Residuals and fitted values from 'selm' fits",
      "concept": [
        "residual values",
        "fitted values"
      ],
      "topics": [
        "fitted,mselm-method",
        "fitted,selm-method",
        "fitted.mselm",
        "fitted.selm",
        "residuals,mselm-method",
        "residuals,selm-method",
        "residuals.mselm",
        "residuals.selm"
      ]
    },
    {
      "page": "sd",
      "title": "Standard deviation",
      "topics": [
        "sd",
        "sd.default"
      ]
    },
    {
      "page": "SECdistrMv-class",
      "title": "Class '\"SECdistrMv\"'",
      "topics": [
        "mean,SECdistrMv-method",
        "SECdistrMv-class",
        "show,SECdistrMv-method",
        "vcov,SECdistrMv-method"
      ]
    },
    {
      "page": "SECdistrUv-class",
      "title": "Class '\"SECdistrUv\"'",
      "topics": [
        "mean,SECdistrUv-method",
        "sd,SECdistrUv-method",
        "SECdistrUv-class",
        "show,SECdistrUv-method"
      ]
    },
    {
      "page": "selm",
      "title": "Fitting linear models with skew-elliptical error term",
      "concept": [
        "regression",
        "skew-elliptical distribution"
      ],
      "topics": [
        "selm"
      ]
    },
    {
      "page": "selm-class",
      "title": "Classes 'selm' and 'mselm' of objects created by function 'selm'",
      "topics": [
        "logLik,mselm-method",
        "logLik,selm-method",
        "mselm-class",
        "plot,mselm,ANY-method",
        "plot,mselm,missing-method",
        "plot,selm,ANY-method",
        "plot,selm,missing-method",
        "selm-class",
        "show,mselm-method",
        "show,selm-method",
        "vcov,mselm-method",
        "vcov,selm-method",
        "weights,mselm-method",
        "weights,selm-method"
      ]
    },
    {
      "page": "selm.fit",
      "title": "Fitting functions for 'selm' models",
      "topics": [
        "msn.mle",
        "msn.mple",
        "mst.mple",
        "selm.fit",
        "sn.mple",
        "st.mple"
      ]
    },
    {
      "page": "sn-st.cumulants",
      "title": "Cumulants of univariate skew-normal and skew-t distributions",
      "concept": [
        "cumulant"
      ],
      "topics": [
        "sn.cumulants",
        "st.cumulants"
      ]
    },
    {
      "page": "sn-st.info",
      "title": "Expected and observed Fisher information for SN and ST distributions",
      "topics": [
        "sn.infoMv",
        "sn.infoUv",
        "st.infoMv",
        "st.infoUv"
      ]
    },
    {
      "page": "spread.grouped",
      "title": "Spreading grouped data over intervals",
      "concept": [
        "grouped data"
      ],
      "topics": [
        "spread.grouped"
      ]
    },
    {
      "page": "st.prelimFit",
      "title": "Compute preliminary estimates for a linear model with ST-distributed error term",
      "topics": [
        "mst.prelimFit",
        "st.prelimFit"
      ]
    },
    {
      "page": "summary.SECdistr",
      "title": "Summary of a SEC distribution object",
      "topics": [
        "summary,SECdistrMv-method",
        "summary,SECdistrUv-method",
        "summary.SECdistr",
        "summary.SECdistrMv",
        "summary.SECdistrUv"
      ]
    },
    {
      "page": "summary.SECdistr-class",
      "title": "Classes 'summary.SECdistrMv' and 'summary.SECdistrUv'",
      "topics": [
        "show,summary.SECdistrMv-method",
        "show,summary.SECdistrUv-method",
        "summary.SECdistrMv-class",
        "summary.SECdistrUv-class"
      ]
    },
    {
      "page": "summary.selm",
      "title": "Summarizing 'selm' fits",
      "topics": [
        "show,summary.mselm-method",
        "show,summary.selm-method",
        "summary,mselm-method",
        "summary,selm-method",
        "summary.mselm",
        "summary.mselm-class",
        "summary.selm",
        "summary.selm-class"
      ]
    },
    {
      "page": "summary.SUNdistr",
      "title": "Summary of a SUN distribution object",
      "topics": [
        "summary,SUNdistr-method",
        "summary.SUNdistr"
      ]
    },
    {
      "page": "summary.SUNdistr-class",
      "title": "Class 'summary.SUNdistr'",
      "topics": [
        "show,summary.SUNdistr-method",
        "summary.SUNdistr-class"
      ]
    },
    {
      "page": "SUNdistr-base",
      "title": "The Unified Skew-Normal (SUN) probability distribution",
      "concept": [
        "SUN distribution",
        "Unified Skew-Normal distribution",
        "CSN distribution",
        "Closed Skew-Normal distribution",
        "FUSN distribution",
        "Fundamental Skew-Normal distribution"
      ],
      "topics": [
        "dsun",
        "psun",
        "rsun",
        "SUNdistr-base",
        "sunMardia",
        "sunMean",
        "sunVcov"
      ]
    },
    {
      "page": "SUNdistr-class",
      "title": "Class '\"SUNdistr\"' and its methods",
      "concept": [
        "SUN distribution",
        "Unified Skew-Normal distribution",
        "CSN distribution",
        "Closed Skew-Normal distribution",
        "FUSN distribution",
        "Fundamental Skew-Normal distribution"
      ],
      "topics": [
        "mean,SUNdistr-method",
        "mean.SUNdistr",
        "show,SUNdistr-method",
        "show.SUNdistr",
        "SUNdistr-class",
        "vcov,SUNdistr-method",
        "vcov.SUNdistr"
      ]
    },
    {
      "page": "SUNdistr-op",
      "title": "Operations on SUNdistr-class objects",
      "concept": [
        "SUN distribution",
        "Unified Skew-Normal distribution",
        "CSN distribution",
        "Closed Skew-Normal distribution"
      ],
      "topics": [
        "affineTransSUNdistr",
        "conditionalSUNdistr",
        "convolutionSUNdistr",
        "joinSUNdistr",
        "marginalSUNdistr",
        "SUNdistr-op"
      ]
    },
    {
      "page": "symm-modulated-distr",
      "title": "Symmetry-modulated distributions",
      "concept": [
        "symmetry-modulated distribution",
        "skew-symmetric distribution"
      ],
      "topics": [
        "dmSymmModulated",
        "dSymmModulated",
        "plot2D.SymmModulated",
        "rmSymmModulated",
        "rSymmModulated",
        "SymmModulatedDistr"
      ]
    },
    {
      "page": "T.Owen",
      "title": "Owen's function",
      "topics": [
        "T.Owen"
      ]
    },
    {
      "page": "wines",
      "title": "Piedmont wines data",
      "topics": [
        "wines"
      ]
    },
    {
      "page": "zeta",
      "title": "Function log(2 Phi(x)) and its derivatives",
      "concept": [
        "Mills ratio"
      ],
      "topics": [
        "zeta"
      ]
    }
  ],
  "_rundeps": [
    "lattice",
    "MASS",
    "Matrix",
    "MatrixModels",
    "mnormt",
    "numDeriv",
    "quantreg",
    "SparseM",
    "survival"
  ],
  "_vignettes": [
    {
      "source": "pkg-overview.html.asis",
      "filename": "pkg-overview.html",
      "title": "A brief overview of the package 'sn'",
      "engine": "R.rsp::asis",
      "headings": [],
      "created": "2020-05-26 10:00:02",
      "modified": "2020-05-26 10:00:02",
      "commits": 1
    },
    {
      "source": "pkg_sn-intro.pdf.asis",
      "filename": "pkg_sn-intro.pdf",
      "title": "An introduction to the package 'sn'",
      "engine": "R.rsp::asis",
      "headings": [],
      "created": "2020-05-26 10:00:02",
      "modified": "2020-05-26 10:00:02",
      "commits": 1
    },
    {
      "source": "how_to_sample.pdf.asis",
      "filename": "how_to_sample.pdf",
      "title": "How to sample from the SN and related distributions",
      "engine": "R.rsp::asis",
      "headings": [],
      "created": "2020-05-26 10:00:02",
      "modified": "2020-05-26 10:00:02",
      "commits": 1
    }
  ],
  "_score": 9.87580241150769,
  "_indexed": true,
  "_nocasepkg": "sn",
  "_universes": [
    "cran"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "2.1.3",
      "date": "2026-05-25T07:26:28.000Z",
      "distro": "noble",
      "commit": "3fef8aaf729e88efeca1f8af3954462e379468fe",
      "fileid": "72ad6e78ecacdfa528bb580a171716ccb249933b4c14db2c95db29506e0461fa",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26388520106"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "2.1.3",
      "date": "2026-05-25T07:26:38.000Z",
      "distro": "noble",
      "commit": "3fef8aaf729e88efeca1f8af3954462e379468fe",
      "fileid": "bc9b1992a8221f6b6511b214f45a2a8b8450e1b8f210c8adf7fbb21dfe5a7eb0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26388520106"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "2.1.3",
      "date": "2026-05-25T07:26:39.000Z",
      "commit": "3fef8aaf729e88efeca1f8af3954462e379468fe",
      "fileid": "10681d2949ce4c31520e5c2efdc5c681c04a35384b1cde291e6937982c73a790",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26388520106"
    }
  ]
}