{
  "_id": "6a1027fdacfb0bcc41c906e2",
  "Package": "RegressionFactory",
  "Type": "Package",
  "Title": "Expander Functions for Generating Full Gradient and Hessian from\nSingle-Slot and Multi-Slot Base Distributions",
  "Version": "0.7.4",
  "Date": "2020-10-26",
  "Author": "Alireza S. Mahani, Mansour T.A. Sharabiani",
  "Maintainer": "Alireza S. Mahani <alireza.s.mahani@gmail.com>",
  "Description": "The expander functions rely on the mathematics developed\nfor the Hessian-definiteness invariance theorem for linear\nprojection transformations of variables, described in authors'\npaper, to generate the full, high-dimensional gradient and\nHessian from the lower-dimensional derivative objects. This\ngreatly relieves the computational burden of generating the\nregression-function derivatives, which in turn can be fed into\nany optimization routine that utilizes such derivatives. The\ntheorem guarantees that Hessian definiteness is preserved,\nmeaning that reasoning about this property can be performed in\nthe low-dimensional space of the base distribution. This is\noften a much easier task than its equivalent in the full,\nhigh-dimensional space. Definiteness of Hessian can be useful\nin selecting optimization/sampling algorithms such as\nNewton-Raphson optimization or its sampling equivalent, the\nStochastic Newton Sampler. Finally, in addition to being a\ncomputational tool, the regression expansion framework is of\nconceptual value by offering new opportunities to generate\nnovel regression problems.",
  "License": "GPL (>= 2)",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-13 08:13:54 UTC",
    "User": "root"
  },
  "Repository": "https://asmahani.r-universe.dev",
  "Date/Publication": "2020-10-26 05:30:07 UTC",
  "RemoteUrl": "https://github.com/cran/RegressionFactory",
  "RemoteRef": "HEAD",
  "RemoteSha": "25f2fcc63af6a1ffec6fd5d4e7ed888aa1c291b6",
  "MD5sum": "052b463704cbc032f5273aae234eba62",
  "_user": "asmahani",
  "_type": "src",
  "_file": "RegressionFactory_0.7.4.tar.gz",
  "_fileid": "ea6485d44aaf9bc7004ec243847081d689a622f9fabc93ab73e8f94ed77ba410",
  "_filesize": 711809,
  "_sha256": "ea6485d44aaf9bc7004ec243847081d689a622f9fabc93ab73e8f94ed77ba410",
  "_created": "2026-05-13T08:13:54.000Z",
  "_published": "2026-05-22T09:55:09.295Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77356850061,
      "time": 96,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "6964925283"
    },
    {
      "job": 77356849997,
      "time": 112,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6964929766"
    },
    {
      "job": 77356850357,
      "time": 101,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "6964926625"
    },
    {
      "job": 77356849887,
      "time": 104,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6964927764"
    },
    {
      "job": 77356849820,
      "time": 167,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6964893583"
    },
    {
      "job": 77356849727,
      "time": 83,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7157749954"
    },
    {
      "job": 77356850176,
      "time": 70,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "6964916947"
    },
    {
      "job": 77356850484,
      "time": 97,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "6964925547"
    },
    {
      "job": 77356850042,
      "time": 60,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6964914009"
    }
  ],
  "_buildurl": "https://github.com/r-universe/asmahani/actions/runs/25786801634",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/RegressionFactory",
  "_commit": {
    "id": "25f2fcc63af6a1ffec6fd5d4e7ed888aa1c291b6",
    "author": "Alireza S. Mahani <alireza.s.mahani@gmail.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.7.4\n",
    "time": 1603690207
  },
  "_maintainer": {
    "name": "Alireza S. Mahani",
    "email": "alireza.s.mahani@gmail.com",
    "login": "asmahani",
    "uuid": 6473000
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "sns",
      "role": "Suggests"
    },
    {
      "package": "MfUSampler",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "asmahani",
      "count": 2,
      "uuid": 6473000
    }
  ],
  "_userbio": {
    "uuid": 6473000,
    "type": "user",
    "name": "asmahani"
  },
  "_downloads": {
    "count": 270,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/RegressionFactory"
  },
  "_searchresults": 20,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/RegressionFactory.html",
    "manual.pdf"
  ],
  "_realowner": "asmahani",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.7",
      "date": "2014-12-01"
    },
    {
      "version": "0.7.1",
      "date": "2015-01-25"
    },
    {
      "version": "0.7.2",
      "date": "2016-09-08"
    },
    {
      "version": "0.7.4",
      "date": "2020-10-26"
    }
  ],
  "_exports": [
    "fbase1.binomial.cauchit",
    "fbase1.binomial.cloglog",
    "fbase1.binomial.logit",
    "fbase1.binomial.probit",
    "fbase1.exponential.log",
    "fbase1.geometric.logit",
    "fbase1.poisson.log",
    "fbase2.gamma.log.log",
    "fbase2.gaussian.identity.log",
    "fbase2.inverse.gaussian.log.log",
    "regfac.expand.1par",
    "regfac.expand.2par",
    "regfac.merge"
  ],
  "_help": [
    {
      "page": "fbase1.binomial",
      "title": "Single-Parameter Base Log-likelihood Function(s) for Binomial GLM",
      "topics": [
        "fbase1.binomial.cauchit",
        "fbase1.binomial.cloglog",
        "fbase1.binomial.logit",
        "fbase1.binomial.probit"
      ]
    },
    {
      "page": "fbase1.exponential",
      "title": "Single-Parameter Base Log-likelihood Function for Exponential GLM",
      "topics": [
        "fbase1.exponential.log"
      ]
    },
    {
      "page": "fbase1.geometric",
      "title": "Single-Parameter Base Log-likelihood Function for Exponential GLM",
      "topics": [
        "fbase1.geometric.logit"
      ]
    },
    {
      "page": "fbase1.poisson",
      "title": "Single-Parameter Base Log-likelihood Function for Poisson GLM",
      "topics": [
        "fbase1.poisson.log"
      ]
    },
    {
      "page": "fbase2.gamma.log.log",
      "title": "Double-Parameter Base Log-likelihood Function for Gamma GLM",
      "topics": [
        "fbase2.gamma.log.log"
      ]
    },
    {
      "page": "fbase2.gaussian.identity.log",
      "title": "Double-Parameter Base Log-likelihood Function for Gaussian GLM",
      "topics": [
        "fbase2.gaussian.identity.log"
      ]
    },
    {
      "page": "fbase2.inverse.gaussian.log.log",
      "title": "Double-Parameter Base Log-likelihood Function for Inverse-Gaussian GLM",
      "topics": [
        "fbase2.inverse.gaussian.log.log"
      ]
    },
    {
      "page": "regfac.expand.1par",
      "title": "Expander Function for Single-Parameter Base Distributions",
      "topics": [
        "regfac.expand.1par"
      ]
    },
    {
      "page": "regfac.expand.2par",
      "title": "Expander Function for Two-Parameter Base Distributions",
      "topics": [
        "regfac.expand.2par"
      ]
    },
    {
      "page": "regfac.merge",
      "title": "Utility Function for Adding Two Functions and Their Derivatives",
      "topics": [
        "regfac.merge"
      ]
    }
  ],
  "_rundeps": [],
  "_vignettes": [
    {
      "source": "RegressionFactory.Rnw",
      "filename": "RegressionFactory.pdf",
      "title": "Expander Framework for Generating High-Dimensional GLM Gradient and Hessian from Low-Dimensional Base Distributions: R Package MfUSampler",
      "engine": "utils::Sweave",
      "headings": [],
      "created": "2015-01-01",
      "modified": "2020-10-26 05:30:07",
      "commits": 2
    }
  ],
  "_score": 2.3010299956639813,
  "_indexed": true,
  "_nocasepkg": "regressionfactory",
  "_universes": [
    "asmahani"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.7.4",
      "date": "2026-05-13T08:15:39.000Z",
      "distro": "noble",
      "commit": "25f2fcc63af6a1ffec6fd5d4e7ed888aa1c291b6",
      "fileid": "634d4d8db4139f389ba6b6fba3edf5ac12e2655f9f075f6e52d2601f80a91862",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/asmahani/actions/runs/25786801634"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.7.4",
      "date": "2026-05-13T08:15:53.000Z",
      "distro": "noble",
      "commit": "25f2fcc63af6a1ffec6fd5d4e7ed888aa1c291b6",
      "fileid": "b6e520a91f6f4b0b0c7d10b4186257485446c93f832d4e676ed5c2852d3c6d7f",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/asmahani/actions/runs/25786801634"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.7.4",
      "date": "2026-05-13T08:15:44.000Z",
      "commit": "25f2fcc63af6a1ffec6fd5d4e7ed888aa1c291b6",
      "fileid": "0f657c75717fc86d50e00f13be8fb1cc7bb368c6acd7337b486deec550692b66",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/asmahani/actions/runs/25786801634"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "0.7.4",
      "date": "2026-05-13T08:15:46.000Z",
      "commit": "25f2fcc63af6a1ffec6fd5d4e7ed888aa1c291b6",
      "fileid": "f400b266aab7540c7fbdf35c2c20c350c78084bb1d8580b8f414eef931c17b48",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/asmahani/actions/runs/25786801634"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.7.4",
      "date": "2026-05-13T08:15:07.000Z",
      "commit": "25f2fcc63af6a1ffec6fd5d4e7ed888aa1c291b6",
      "fileid": "03d6b1cca8dccd110a4def39cbc8f776afab862d487a962fc483d274300879e5",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/asmahani/actions/runs/25786801634"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.7.4",
      "date": "2026-05-13T08:15:36.000Z",
      "commit": "25f2fcc63af6a1ffec6fd5d4e7ed888aa1c291b6",
      "fileid": "b4329bc6a2efd2cadc67de7360373e746fc466058ecc667c11f1a977b7e644e6",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/asmahani/actions/runs/25786801634"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "0.7.4",
      "date": "2026-05-13T08:14:58.000Z",
      "commit": "25f2fcc63af6a1ffec6fd5d4e7ed888aa1c291b6",
      "fileid": "758d766b4f400829b3a248f4d612baad2cd93fa56d354236b6ff3936b712c49f",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/asmahani/actions/runs/25786801634"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.7.4",
      "date": "2026-05-22T09:54:54.000Z",
      "commit": "25f2fcc63af6a1ffec6fd5d4e7ed888aa1c291b6",
      "fileid": "b0af0ac33009ae3a6b7589700a445bfc242179ae4aeb403343feec550f0b1bc0",
      "status": "success",
      "buildurl": "https://github.com/r-universe/asmahani/actions/runs/25786801634"
    }
  ]
}