{
  "_id": "6a27bef724555f66ed53c581",
  "Package": "highOrderPortfolios",
  "Title": "Design of High-Order Portfolios Including Skewness and Kurtosis",
  "Version": "0.1.1",
  "Date": "2022-10-20",
  "Description": "The classical Markowitz's mean-variance portfolio\nformulation ignores heavy tails and skewness. High-order\nportfolios use higher order moments to better characterize the\nreturn distribution. Different formulations and fast algorithms\nare proposed for high-order portfolios based on the mean,\nvariance, skewness, and kurtosis. The package is based on the\npapers: R. Zhou and D. P. Palomar (2021). \"Solving High-Order\nPortfolios via Successive Convex Approximation Algorithms.\"\n<arXiv:2008.00863>. X. Wang, R. Zhou, J. Ying, and D. P.\nPalomar (2022). \"Efficient and Scalable High-Order Portfolios\nDesign via Parametric Skew-t Distribution.\" <arXiv:2206.02412>.",
  "Authors@R": "c(\nperson(c(\"Daniel\", \"P.\"), \"Palomar\", role = c(\"cre\", \"aut\"), email = \"daniel.p.palomar@gmail.com\"),\nperson(\"Rui\", \"Zhou\", role = \"aut\", email = \"rzhouae@connect.ust.hk\"),\nperson(\"Xiwen\", \"Wang\", role = \"aut\", email = \"xwangew@connect.ust.hk\")\n)",
  "Maintainer": "Daniel P. Palomar <daniel.p.palomar@gmail.com>",
  "URL": "https://github.com/dppalomar/highOrderPortfolios,\nhttps://www.danielppalomar.com",
  "BugReports": "https://github.com/dppalomar/highOrderPortfolios/issues",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "7.2.1",
  "VignetteBuilder": "knitr, rmarkdown, R.rsp",
  "Config/testthat/edition": "3",
  "Config/pak/sysreqs": "cmake make",
  "Repository": "https://dppalomar.r-universe.dev",
  "Date/Publication": "2022-11-29 01:03:39 UTC",
  "RemoteUrl": "https://github.com/dppalomar/highorderportfolios",
  "RemoteRef": "HEAD",
  "RemoteSha": "f3517955fa42969440bc4dd94d599dbd2373aa32",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-06-09 07:07:06 UTC",
    "User": "root"
  },
  "Author": "Daniel P. Palomar [cre, aut],\nRui Zhou [aut],\nXiwen Wang [aut]",
  "MD5sum": "76ec43760050bbb9761a9367185529ef",
  "_user": "dppalomar",
  "_type": "src",
  "_file": "highOrderPortfolios_0.1.1.tar.gz",
  "_fileid": "b3a63e9aa383f2fdaefe4ee6b3957beb5e4066578ce97eb157e29b5714bf8af5",
  "_filesize": 1550825,
  "_sha256": "b3a63e9aa383f2fdaefe4ee6b3957beb5e4066578ce97eb157e29b5714bf8af5",
  "_created": "2026-06-09T07:07:06.000Z",
  "_published": "2026-06-09T07:21:27.637Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 80267180360,
      "time": 202,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7500814333"
    },
    {
      "job": 80267180347,
      "time": 218,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7500818306"
    },
    {
      "job": 80267180382,
      "time": 175,
      "config": "linux-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7500805548"
    },
    {
      "job": 80267180389,
      "time": 191,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7500809985"
    },
    {
      "job": 80267180378,
      "time": 326,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7501000346"
    },
    {
      "job": 80267180384,
      "time": 472,
      "config": "macos-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7500913917"
    },
    {
      "job": 80267180408,
      "time": 135,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7501004542"
    },
    {
      "job": 80267180355,
      "time": 555,
      "config": "macos-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7500918306"
    },
    {
      "job": 80266604183,
      "time": 228,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7500751448"
    },
    {
      "job": 80267180332,
      "time": 106,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7500783784"
    },
    {
      "job": 80267180336,
      "time": 216,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7500817489"
    },
    {
      "job": 80267180371,
      "time": 162,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7500800720"
    },
    {
      "job": 80267180335,
      "time": 153,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7500797971"
    }
  ],
  "_buildurl": "https://github.com/r-universe/dppalomar/actions/runs/27189656876",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/dppalomar/highorderportfolios",
  "_commit": {
    "id": "f3517955fa42969440bc4dd94d599dbd2373aa32",
    "author": "dppalomar <daniel.p.palomar@gmail.com>",
    "committer": "dppalomar <daniel.p.palomar@gmail.com>",
    "message": "Wrong package name!\n",
    "time": 1669683819
  },
  "_maintainer": {
    "name": "Daniel P. Palomar",
    "email": "daniel.p.palomar@gmail.com",
    "login": "dppalomar",
    "description": "Professor of Optimization, Hong Kong University of Science and Technology (HKUST)",
    "uuid": 22098181
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "ECOSolveR",
      "role": "Imports"
    },
    {
      "package": "lpSolveAPI",
      "role": "Imports"
    },
    {
      "package": "nloptr",
      "role": "Imports"
    },
    {
      "package": "PerformanceAnalytics",
      "role": "Imports"
    },
    {
      "package": "quadprog",
      "role": "Imports"
    },
    {
      "package": "fitHeavyTail",
      "version": ">= 0.1.4",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "ggplot2",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "R.rsp",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    }
  ],
  "_owner": "dppalomar",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 28,
  "_contributors": [
    {
      "user": "dppalomar",
      "count": 68,
      "uuid": 22098181
    },
    {
      "user": "ruihkust",
      "count": 12,
      "uuid": 33095611
    },
    {
      "user": "mirca",
      "count": 2,
      "uuid": 13077051
    },
    {
      "user": "xiwen1997",
      "count": 1,
      "uuid": 59204376
    }
  ],
  "_userbio": {
    "uuid": 22098181,
    "type": "user",
    "name": "Daniel P. Palomar",
    "description": "Professor of Optimization, Hong Kong University of Science and Technology (HKUST)"
  },
  "_downloads": {
    "count": 660,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/highOrderPortfolios"
  },
  "_devurl": "https://github.com/dppalomar/highorderportfolios",
  "_searchresults": 22,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/highOrderPortfolios.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/dppalomar/highorderportfolios",
  "_realowner": "dppalomar",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.0.2",
      "date": "2022-10-11"
    },
    {
      "version": "0.1.0",
      "date": "2022-10-19"
    },
    {
      "version": "0.1.1",
      "date": "2022-10-20"
    }
  ],
  "_exports": [
    "design_MVSK_portfolio_via_sample_moments",
    "design_MVSK_portfolio_via_skew_t",
    "design_MVSKtilting_portfolio_via_sample_moments",
    "estimate_sample_moments",
    "estimate_skew_t",
    "eval_portfolio_moments"
  ],
  "_datasets": [
    {
      "name": "X100",
      "title": "Synthetic 500x100 matrix dataset",
      "object": "X100",
      "class": [
        "xts",
        "zoo"
      ],
      "fields": [
        "MCO",
        "GE",
        "AMAT",
        "MMC",
        "PKG",
        "ALLE",
        "SBAC",
        "STT",
        "SIVB",
        "WEC",
        "CMCSA",
        "KEY",
        "HES",
        "ROK",
        "VMC",
        "TAP",
        "AXP",
        "GILD",
        "USB",
        "JPM",
        "SO",
        "PYPL",
        "SPGI",
        "HSY",
        "SYF",
        "LMT",
        "ABC",
        "REGN",
        "MO",
        "FAST",
        "DVN",
        "STZ",
        "FMC",
        "NUE",
        "PNC",
        "WMB",
        "FIS",
        "APA",
        "CINF",
        "COST",
        "MLM",
        "PEG",
        "IT",
        "EXC",
        "GOOGL",
        "MCK",
        "VTR",
        "OKE",
        "PNW",
        "LDOS",
        "NCLH",
        "MAR",
        "MAC",
        "HAS",
        "SJM",
        "HON",
        "FFIV",
        "XOM",
        "MSCI",
        "DXC",
        "RCL",
        "BAX",
        "FTI",
        "MHK",
        "HST",
        "DTE",
        "GPN",
        "MDT",
        "HBAN",
        "IEX",
        "NVDA",
        "BMY",
        "CSCO",
        "STX",
        "BXP",
        "IRM",
        "MMM",
        "JKHY",
        "ISRG",
        "CAG",
        "DG",
        "CHTR",
        "TROW",
        "IBM",
        "BIIB",
        "AAPL",
        "INTC",
        "KEYS",
        "LLY",
        "HPE",
        "BWA",
        "DRI",
        "CL",
        "PVH",
        "CBOE",
        "FE",
        "ECL",
        "TRIP",
        "VRSN",
        "DIS"
      ],
      "rows": 500,
      "table": true,
      "tojson": false
    },
    {
      "name": "X200",
      "title": "Synthetic 1000x200 matrix dataset",
      "object": "X200",
      "class": [
        "xts",
        "zoo"
      ],
      "fields": [
        "MCO",
        "GE",
        "AMAT",
        "MMC",
        "PKG",
        "ALLE",
        "SBAC",
        "STT",
        "SIVB",
        "WEC",
        "CMCSA",
        "KEY",
        "HES",
        "ROK",
        "VMC",
        "TAP",
        "AXP",
        "GILD",
        "USB",
        "JPM",
        "SO",
        "PYPL",
        "SPGI",
        "HSY",
        "SYF",
        "LMT",
        "ABC",
        "REGN",
        "MO",
        "FAST",
        "DVN",
        "STZ",
        "FMC",
        "NUE",
        "PNC",
        "WMB",
        "FIS",
        "APA",
        "CINF",
        "COST",
        "MLM",
        "PEG",
        "IT",
        "EXC",
        "GOOGL",
        "MCK",
        "VTR",
        "OKE",
        "PNW",
        "LDOS",
        "NCLH",
        "MAR",
        "MAC",
        "HAS",
        "SJM",
        "HON",
        "FFIV",
        "XOM",
        "MSCI",
        "DXC",
        "RCL",
        "BAX",
        "FTI",
        "MHK",
        "HST",
        "DTE",
        "GPN",
        "MDT",
        "HBAN",
        "IEX",
        "NVDA",
        "BMY",
        "CSCO",
        "STX",
        "BXP",
        "IRM",
        "MMM",
        "JKHY",
        "ISRG",
        "CAG",
        "DG",
        "CHTR",
        "TROW",
        "IBM",
        "BIIB",
        "AAPL",
        "INTC",
        "KEYS",
        "LLY",
        "HPE",
        "BWA",
        "DRI",
        "CL",
        "PVH",
        "CBOE",
        "FE",
        "ECL",
        "TRIP",
        "VRSN",
        "DIS"
      ],
      "rows": 1000,
      "table": true,
      "tojson": false
    },
    {
      "name": "X50",
      "title": "Synthetic 250x50 matrix dataset",
      "object": "X50",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
      "rows": 250,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "highOrderPortfolios-package",
      "title": "highOrderPortfolios: Design of High-Order Portfolios via Mean, Variance, Skewness, and Kurtosis",
      "topics": [
        "highOrderPortfolios-package"
      ]
    },
    {
      "page": "design_MVSK_portfolio_via_sample_moments",
      "title": "Design high-order portfolio based on weighted linear combination of first four moments",
      "topics": [
        "design_MVSK_portfolio_via_sample_moments"
      ]
    },
    {
      "page": "design_MVSK_portfolio_via_skew_t",
      "title": "Design MVSK portfolio without shorting based on the parameters of generalized hyperbolic skew-t distribution",
      "topics": [
        "design_MVSK_portfolio_via_skew_t"
      ]
    },
    {
      "page": "design_MVSKtilting_portfolio_via_sample_moments",
      "title": "Design high-order portfolio by tilting a given portfolio to the MVSK efficient frontier",
      "topics": [
        "design_MVSKtilting_portfolio_via_sample_moments"
      ]
    },
    {
      "page": "estimate_sample_moments",
      "title": "Estimate first four moment parameters of multivariate observations",
      "topics": [
        "estimate_sample_moments"
      ]
    },
    {
      "page": "estimate_skew_t",
      "title": "Estimate the parameters of skew-t distribution from multivariate observations",
      "topics": [
        "estimate_skew_t"
      ]
    },
    {
      "page": "eval_portfolio_moments",
      "title": "Evaluate first four moments of a given portfolio",
      "topics": [
        "eval_portfolio_moments"
      ]
    },
    {
      "page": "X100",
      "title": "Synthetic 500x100 matrix dataset",
      "topics": [
        "X100"
      ]
    },
    {
      "page": "X200",
      "title": "Synthetic 1000x200 matrix dataset",
      "topics": [
        "X200"
      ]
    },
    {
      "page": "X50",
      "title": "Synthetic 250x50 matrix dataset",
      "topics": [
        "X50"
      ]
    }
  ],
  "_readme": "https://github.com/dppalomar/highorderportfolios/raw/HEAD/README.md",
  "_rundeps": [
    "cli",
    "DBI",
    "ECOSolveR",
    "fitHeavyTail",
    "ghyp",
    "ICS",
    "ICSNP",
    "lattice",
    "lpSolveAPI",
    "MASS",
    "Matrix",
    "minqa",
    "mitools",
    "mvtnorm",
    "nloptr",
    "numDeriv",
    "PerformanceAnalytics",
    "quadprog",
    "Rcpp",
    "RcppArmadillo",
    "survey",
    "survival",
    "xts",
    "zoo"
  ],
  "_vignettes": [
    {
      "source": "DesignOfHighOrderPortfolios.html.asis",
      "filename": "DesignOfHighOrderPortfolios.html",
      "title": "Design of High-order Portfolios",
      "engine": "R.rsp::asis",
      "headings": [],
      "created": "2020-07-29 10:40:55",
      "modified": "2020-07-29 10:40:55",
      "commits": 1
    }
  ],
  "_score": 5.9656719712201065,
  "_indexed": true,
  "_nocasepkg": "highorderportfolios",
  "_universes": [
    "dppalomar"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.1",
      "date": "2026-06-09T07:09:53.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "f3517955fa42969440bc4dd94d599dbd2373aa32",
      "fileid": "786513c6015b650c916eeb17f6678e5cb4848a84893e3c1c429de856b7b041f2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/dppalomar/actions/runs/27189656876"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.1",
      "date": "2026-06-09T07:09:33.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "f3517955fa42969440bc4dd94d599dbd2373aa32",
      "fileid": "80d8336d4f8c277f71327ba36f6f889b52a0f33e4f8eb8b6401e4b2135e103cc",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/dppalomar/actions/runs/27189656876"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.1.1",
      "date": "2026-06-09T07:09:35.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "f3517955fa42969440bc4dd94d599dbd2373aa32",
      "fileid": "69a5bcfc499841e8450df08a2607b2b5b6618180888656781d3d3d64c682eab8",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/dppalomar/actions/runs/27189656876"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.1.1",
      "date": "2026-06-09T07:09:23.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "f3517955fa42969440bc4dd94d599dbd2373aa32",
      "fileid": "09ea62a6f9b70cd40fe16ff56a01b8cbd61de12bbb2e15f0eba9acd2c97e7fc2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/dppalomar/actions/runs/27189656876"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.1.1",
      "date": "2026-06-09T07:18:46.000Z",
      "arch": "aarch64",
      "commit": "f3517955fa42969440bc4dd94d599dbd2373aa32",
      "fileid": "3ff76c87e45c95099b335c9cb6bef0a340a0c7f120dd2e3781a949bef52e205a",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/dppalomar/actions/runs/27189656876"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.1.1",
      "date": "2026-06-09T07:13:45.000Z",
      "arch": "x86_64",
      "commit": "f3517955fa42969440bc4dd94d599dbd2373aa32",
      "fileid": "212a80d195877de1bba758ef10c1746e0571daab349896d779d5ff828038320f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/dppalomar/actions/runs/27189656876"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.1.1",
      "date": "2026-06-09T07:20:00.000Z",
      "arch": "aarch64",
      "commit": "f3517955fa42969440bc4dd94d599dbd2373aa32",
      "fileid": "5b20171380ffe7411927aad8dd7b61b50c6289ec03c44a3ea4c3d430a337fa1d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/dppalomar/actions/runs/27189656876"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.1.1",
      "date": "2026-06-09T07:13:35.000Z",
      "arch": "x86_64",
      "commit": "f3517955fa42969440bc4dd94d599dbd2373aa32",
      "fileid": "bba35e59effe461fd8c5ac23559dbe50e95a1ca10218cb1a09a7b89780253cf6",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/dppalomar/actions/runs/27189656876"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.1",
      "date": "2026-06-09T07:09:13.000Z",
      "arch": "emscripten",
      "commit": "f3517955fa42969440bc4dd94d599dbd2373aa32",
      "fileid": "5c87cdf74bb2e16937312b33cfe4570c2c90a97b1b77368f99f504fe6e5ae840",
      "status": "success",
      "buildurl": "https://github.com/r-universe/dppalomar/actions/runs/27189656876"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.1.1",
      "date": "2026-06-09T07:09:18.000Z",
      "arch": "x86_64",
      "commit": "f3517955fa42969440bc4dd94d599dbd2373aa32",
      "fileid": "f57ae53604f0ffcc770568d82794a927b09e964b9c6358ec6bef3d51eeaaff2f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/dppalomar/actions/runs/27189656876"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.1.1",
      "date": "2026-06-09T07:08:25.000Z",
      "arch": "x86_64",
      "commit": "f3517955fa42969440bc4dd94d599dbd2373aa32",
      "fileid": "c723b6c6133c39e46089fea574f98e9ecec67a82e6be34704cd1c8038ce10359",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/dppalomar/actions/runs/27189656876"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.1.1",
      "date": "2026-06-09T07:08:23.000Z",
      "arch": "x86_64",
      "commit": "f3517955fa42969440bc4dd94d599dbd2373aa32",
      "fileid": "8ef37f511d48fce8187e1676f2d85541d43db5027638f2032ff46ff51d56882c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/dppalomar/actions/runs/27189656876"
    }
  ]
}