{
  "_id": "6a0f7728acfb0bcc41c61fc5",
  "Package": "L2E",
  "Type": "Package",
  "Title": "Robust Structured Regression via the L2 Criterion",
  "Version": "2.0",
  "Description": "An implementation of a computational framework for\nperforming robust structured regression with the L2 criterion\nfrom Chi and Chi (2021+). Improvements using the\nmajorization-minimization (MM) principle from Liu, Chi, and\nLange (2022+) added in Version 2.0.",
  "Authors@R": "c(\nperson(\"Xiaoqian\", \"Liu\", email=\"xiaoqian.liu1025@gmail.com\", role=c(\"aut\", \"ctb\")),\nperson(\"Jocelyn\", \"Chi\", email=\"jocetchi@gmail.com\", role=c(\"aut\", \"cre\")),\nperson(\"Lisa\", \"Lin\", email=\"llin.texas@hotmail.com\", role=c(\"ctb\")),\nperson(\"Kenneth\", \"Lange\", email=\"klange@ucla.edu\", role=c(\"aut\")),\nperson(\"Eric\", \"Chi\", email=\"ecchi1105@gmail.com\", role=c(\"aut\"))\n)",
  "Maintainer": "Jocelyn Chi <jocetchi@gmail.com>",
  "VignetteBuilder": "knitr",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "7.1.1",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-21 06:15:53 UTC",
    "User": "root"
  },
  "Author": "Xiaoqian Liu [aut, ctb], Jocelyn Chi [aut, cre], Lisa Lin\n[ctb], Kenneth Lange [aut], Eric Chi [aut]",
  "Config/pak/sysreqs": "make",
  "Repository": "https://jocelynchi.r-universe.dev",
  "Date/Publication": "2022-09-08 20:13:00 UTC",
  "RemoteUrl": "https://github.com/cran/L2E",
  "RemoteRef": "HEAD",
  "RemoteSha": "a30f7a539613530b370a20d63936ac52bd3877be",
  "MD5sum": "e26339d799f6dfceb58705c62b00ecf9",
  "_user": "jocelynchi",
  "_type": "src",
  "_file": "L2E_2.0.tar.gz",
  "_fileid": "bd7deb2c60ba4bc51c6f3c5724e209097eb7f18b2f28ae68179c33a36862c6e5",
  "_filesize": 950451,
  "_sha256": "bd7deb2c60ba4bc51c6f3c5724e209097eb7f18b2f28ae68179c33a36862c6e5",
  "_created": "2026-05-21T06:15:53.000Z",
  "_published": "2026-05-21T21:20:40.765Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77271036665,
      "time": 159,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "WARNING",
      "artifact": "7128578823"
    },
    {
      "job": 77271036683,
      "time": 153,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "WARNING",
      "artifact": "7128577478"
    },
    {
      "job": 77271036773,
      "time": 110,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "WARNING",
      "artifact": "7128566724"
    },
    {
      "job": 77271036869,
      "time": 150,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "WARNING",
      "artifact": "7128576522"
    },
    {
      "job": 77271036146,
      "time": 198,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7128540363"
    },
    {
      "job": 77271036247,
      "time": 108,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7147478843"
    },
    {
      "job": 77271036693,
      "time": 138,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "WARNING",
      "artifact": "7128572992"
    },
    {
      "job": 77271037163,
      "time": 116,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "WARNING",
      "artifact": "7128568098"
    },
    {
      "job": 77271036659,
      "time": 117,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "WARNING",
      "artifact": "7128568430"
    }
  ],
  "_buildurl": "https://github.com/r-universe/jocelynchi/actions/runs/26208874668",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/L2E",
  "_commit": {
    "id": "a30f7a539613530b370a20d63936ac52bd3877be",
    "author": "Jocelyn Chi <jocetchi@gmail.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 2.0\n",
    "time": 1662667980
  },
  "_maintainer": {
    "name": "Jocelyn Chi",
    "email": "jocetchi@gmail.com",
    "login": "jocelynchi",
    "description": "\n",
    "uuid": 2458628
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "osqp",
      "role": "Depends"
    },
    {
      "package": "isotone",
      "role": "Imports"
    },
    {
      "package": "cobs",
      "role": "Imports"
    },
    {
      "package": "ncvreg",
      "role": "Imports"
    },
    {
      "package": "Matrix",
      "role": "Imports"
    },
    {
      "package": "signal",
      "role": "Imports"
    },
    {
      "package": "robustbase",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "ggplot2",
      "role": "Suggests"
    },
    {
      "package": "latex2exp",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "jocelynchi",
      "count": 2,
      "uuid": 2458628
    }
  ],
  "_userbio": {
    "uuid": 2458628,
    "type": "user",
    "name": "Jocelyn T. Chi"
  },
  "_downloads": {
    "count": 233,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/L2E"
  },
  "_searchresults": 2,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/L2E.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_realowner": "jocelynchi",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.0",
      "date": "2022-01-07"
    },
    {
      "version": "2.0",
      "date": "2022-09-08"
    }
  ],
  "_exports": [
    "CV_L2E_sparse_dist",
    "CV_L2E_sparse_ncv",
    "CV_L2E_TF_dist",
    "CV_L2E_TF_lasso",
    "L2E_convex",
    "L2E_isotonic",
    "L2E_multivariate",
    "l2e_regression",
    "l2e_regression_convex",
    "l2e_regression_convex_MM",
    "l2e_regression_isotonic",
    "l2e_regression_isotonic_MM",
    "l2e_regression_MM",
    "L2E_sparse_dist",
    "L2E_sparse_ncv",
    "L2E_TF_dist",
    "L2E_TF_lasso",
    "myGetDkn",
    "objective",
    "objective_tau"
  ],
  "_datasets": [
    {
      "name": "bank",
      "title": "Bank data",
      "object": "bank",
      "class": [
        "data.frame"
      ],
      "fields": [
        "x1",
        "x2",
        "x3",
        "x4",
        "x5",
        "x6",
        "x7",
        "x8",
        "x9",
        "x10",
        "x11",
        "x12",
        "x13",
        "y"
      ],
      "rows": 1949,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "bank",
      "title": "Bank data",
      "topics": [
        "bank"
      ]
    },
    {
      "page": "CV_L2E_sparse_dist",
      "title": "Cross validation for L2E sparse regression with distance penalization",
      "topics": [
        "CV_L2E_sparse_dist"
      ]
    },
    {
      "page": "CV_L2E_sparse_ncv",
      "title": "Cross validation for L2E sparse regression with existing penalization methods",
      "topics": [
        "CV_L2E_sparse_ncv"
      ]
    },
    {
      "page": "CV_L2E_TF_dist",
      "title": "Cross validation for L2E trend filtering regression with distance penalization",
      "topics": [
        "CV_L2E_TF_dist"
      ]
    },
    {
      "page": "CV_L2E_TF_lasso",
      "title": "Cross validation for L2E trend filtering regression with Lasso penalization",
      "topics": [
        "CV_L2E_TF_lasso"
      ]
    },
    {
      "page": "L2E",
      "title": "L2E",
      "topics": [
        "L2E"
      ]
    },
    {
      "page": "L2E_convex",
      "title": "L2E convex regression",
      "topics": [
        "L2E_convex"
      ]
    },
    {
      "page": "L2E_isotonic",
      "title": "L2E isotonic regression",
      "topics": [
        "L2E_isotonic"
      ]
    },
    {
      "page": "L2E_multivariate",
      "title": "L2E multivariate regression",
      "topics": [
        "L2E_multivariate"
      ]
    },
    {
      "page": "l2e_regression",
      "title": "L2E multivariate regression - PG",
      "topics": [
        "l2e_regression"
      ]
    },
    {
      "page": "l2e_regression_convex",
      "title": "L2E convex regression - PG",
      "topics": [
        "l2e_regression_convex"
      ]
    },
    {
      "page": "l2e_regression_convex_MM",
      "title": "L2E convex regression - MM",
      "topics": [
        "l2e_regression_convex_MM"
      ]
    },
    {
      "page": "l2e_regression_isotonic",
      "title": "L2E isotonic regression - PG",
      "topics": [
        "l2e_regression_isotonic"
      ]
    },
    {
      "page": "l2e_regression_isotonic_MM",
      "title": "L2E isotonic regression - MM",
      "topics": [
        "l2e_regression_isotonic_MM"
      ]
    },
    {
      "page": "l2e_regression_MM",
      "title": "L2E multivariate regression - MM",
      "topics": [
        "l2e_regression_MM"
      ]
    },
    {
      "page": "l2e_regression_sparse_dist",
      "title": "L2E sparse regression with distance penalization",
      "topics": [
        "l2e_regression_sparse_dist"
      ]
    },
    {
      "page": "l2e_regression_sparse_ncv",
      "title": "L2E sparse regression with existing penalization methods",
      "topics": [
        "l2e_regression_sparse_ncv"
      ]
    },
    {
      "page": "l2e_regression_TF_dist",
      "title": "L2E trend filtering regression with distance penalization",
      "topics": [
        "l2e_regression_TF_dist"
      ]
    },
    {
      "page": "l2e_regression_TF_lasso",
      "title": "L2E trend filtering regression with Lasso penalization",
      "topics": [
        "l2e_regression_TF_lasso"
      ]
    },
    {
      "page": "L2E_sparse_dist",
      "title": "Solution path of L2E sparse regression with distance penalization",
      "topics": [
        "L2E_sparse_dist"
      ]
    },
    {
      "page": "L2E_sparse_ncv",
      "title": "Solution path of L2E sparse regression with existing penalization methods",
      "topics": [
        "L2E_sparse_ncv"
      ]
    },
    {
      "page": "L2E_TF_dist",
      "title": "Solution path of the L2E trend filtering regression with distance penalization",
      "topics": [
        "L2E_TF_dist"
      ]
    },
    {
      "page": "L2E_TF_lasso",
      "title": "Solution path of the L2E trend filtering regression with Lasso",
      "topics": [
        "L2E_TF_lasso"
      ]
    },
    {
      "page": "myGetDkn",
      "title": "Compute kth order differencing matrix",
      "topics": [
        "myGetDkn"
      ]
    },
    {
      "page": "objective",
      "title": "Objective function of the L2E regression - eta",
      "topics": [
        "objective"
      ]
    },
    {
      "page": "objective_tau",
      "title": "Objective function of the L2E regression - tau",
      "topics": [
        "objective_tau"
      ]
    },
    {
      "page": "update_beta_convex",
      "title": "Beta update in L2E convex regression - PG",
      "topics": [
        "update_beta_convex"
      ]
    },
    {
      "page": "update_beta_isotonic",
      "title": "Beta update in L2E isotonic regression - PG",
      "topics": [
        "update_beta_isotonic"
      ]
    },
    {
      "page": "update_beta_MM_convex",
      "title": "Beta update in L2E convex regression - MM",
      "topics": [
        "update_beta_MM_convex"
      ]
    },
    {
      "page": "update_beta_MM_isotonic",
      "title": "Beta update in L2E isotonic regression - MM",
      "topics": [
        "update_beta_MM_isotonic"
      ]
    },
    {
      "page": "update_beta_MM_ls",
      "title": "Beta update in L2E multivariate regression - MM",
      "topics": [
        "update_beta_MM_ls"
      ]
    },
    {
      "page": "update_beta_MM_sparse",
      "title": "Beta update in L2E sparse regression - MM",
      "topics": [
        "update_beta_MM_sparse"
      ]
    },
    {
      "page": "update_beta_MM_TF",
      "title": "Beta update in L2E trend filtering regression - MM",
      "topics": [
        "update_beta_MM_TF"
      ]
    },
    {
      "page": "update_beta_qr",
      "title": "Beta update in L2E multivariate regression - PG",
      "topics": [
        "update_beta_qr"
      ]
    },
    {
      "page": "update_beta_sparse_ncv",
      "title": "Beta update in L2E sparse regression - NCV",
      "topics": [
        "update_beta_sparse_ncv"
      ]
    },
    {
      "page": "update_beta_TF_lasso",
      "title": "Beta update in L2E trend filtering regression using Lasso",
      "topics": [
        "update_beta_TF_lasso"
      ]
    },
    {
      "page": "update_eta_bktk",
      "title": "Eta update using Newton's method with backtracking",
      "topics": [
        "update_eta_bktk"
      ]
    },
    {
      "page": "update_tau_R",
      "title": "Tau update function",
      "topics": [
        "update_tau_R"
      ]
    }
  ],
  "_readme": "https://github.com/cran/L2E/raw/HEAD/README.md",
  "_rundeps": [
    "cli",
    "cobs",
    "DEoptimR",
    "isotone",
    "lattice",
    "MASS",
    "Matrix",
    "MatrixModels",
    "ncvreg",
    "nnls",
    "osqp",
    "quantreg",
    "Rcpp",
    "robustbase",
    "S7",
    "signal",
    "SparseM",
    "survival"
  ],
  "_vignettes": [
    {
      "source": "l2e-intro.Rmd",
      "filename": "l2e-intro.html",
      "title": "Introduction to the L2E Package (version 2.0)",
      "author": "Xiaoqian Liu, Jocelyn T. Chi, Lisa Lin, Kennth Lange, and Eric C. Chi",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Examples",
        "Isotonic Regression",
        "Convex Regression",
        "Multivariate Regression",
        "Other Examples",
        "References"
      ],
      "created": "2022-01-07 12:32:55",
      "modified": "2022-09-08 20:13:00",
      "commits": 2
    }
  ],
  "_score": 2.6989700043360187,
  "_indexed": true,
  "_nocasepkg": "l2e",
  "_universes": [
    "jocelynchi"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "2.0",
      "date": "2026-05-21T06:18:09.000Z",
      "distro": "noble",
      "commit": "a30f7a539613530b370a20d63936ac52bd3877be",
      "fileid": "d20db2ef3ee0914116ec6719f3d3a07e6b6eb1176a4d584878a11cea2cbef81d",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/jocelynchi/actions/runs/26208874668"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "2.0",
      "date": "2026-05-21T06:18:04.000Z",
      "distro": "noble",
      "commit": "a30f7a539613530b370a20d63936ac52bd3877be",
      "fileid": "821c62496d543dde6dfcbf45359ff9b99e16e0a13ad548013050dc93b5b55255",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/jocelynchi/actions/runs/26208874668"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "2.0",
      "date": "2026-05-21T06:17:38.000Z",
      "commit": "a30f7a539613530b370a20d63936ac52bd3877be",
      "fileid": "17e3f86ceea9a36f3225909473096b37a3bd585b13b10057fbc772ebb35aa97a",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/jocelynchi/actions/runs/26208874668"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "2.0",
      "date": "2026-05-21T06:18:05.000Z",
      "commit": "a30f7a539613530b370a20d63936ac52bd3877be",
      "fileid": "8cb2984d718b9e01dc60c72e04ae38dba2558e497e8bc7b1d7a7122e6f4483df",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/jocelynchi/actions/runs/26208874668"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "2.0",
      "date": "2026-05-21T21:20:26.000Z",
      "commit": "a30f7a539613530b370a20d63936ac52bd3877be",
      "fileid": "b16ec11208a8a2538dcd4e5666a0714b2dd95abeddab19b980b9651492e35b4f",
      "status": "success",
      "buildurl": "https://github.com/r-universe/jocelynchi/actions/runs/26208874668"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "2.0",
      "date": "2026-05-21T06:17:38.000Z",
      "commit": "a30f7a539613530b370a20d63936ac52bd3877be",
      "fileid": "861794aeca08a5d1c67b9d906319459b7c1df3e551db8ceb6da410bac5b8d837",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/jocelynchi/actions/runs/26208874668"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "2.0",
      "date": "2026-05-21T06:17:14.000Z",
      "commit": "a30f7a539613530b370a20d63936ac52bd3877be",
      "fileid": "c918c1030325a8fd25aed631e460b375d3d3322b43c1540bad2999d50854f36f",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/jocelynchi/actions/runs/26208874668"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "2.0",
      "date": "2026-05-21T06:17:23.000Z",
      "commit": "a30f7a539613530b370a20d63936ac52bd3877be",
      "fileid": "ab1282e41c9c3829ecb8e68c2e0ba1294b973fb951e7e510d12e6d408b037453",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/jocelynchi/actions/runs/26208874668"
    }
  ]
}