{
  "_id": "6a3bdc285cdecea1d68391b8",
  "Package": "ivgls",
  "Type": "Package",
  "Title": "Network-Aware IV Regression with Graph-Fused Lasso",
  "Version": "0.1.0",
  "Authors@R": "c(\nperson(\"Dhrubajyoti\", \"Ghosh\", email = \"dghosh3@kennesaw.edu\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-3360-3786\")),\nperson(\"Samhita\", \"Pal\", email = \"samhita.pal@vumc.org\",\nrole = \"aut\", comment = c(ORCID = \"0009-0001-4930-916X\")))",
  "Description": "Implements network-aware instrumental variable regression\nfor causal node discovery in high-dimensional settings with\ngraph-structured exposures. Provides IVGL and IVGL-S estimators\ncombining graph-Laplacian penalization with IV-based\nidentification, including correction for invalid instruments\nvia a sisVIVE-style update. Methods are described in Pal and\nGhosh (2026) <doi:10.48550/arXiv.2604.24969>. The 'glmgraph'\npackage, required for the main estimators, is available at the\nadditional repository <https://djghosh1123.r-universe.dev>.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Additional_repositories": "https://djghosh1123.r-universe.dev",
  "VignetteBuilder": "knitr",
  "RoxygenNote": "7.3.2",
  "Config/roxygen2/version": "8.0.0",
  "Config/testthat/edition": "3",
  "URL": "https://github.com/djghosh1123/ivgls",
  "BugReports": "https://github.com/djghosh1123/ivgls/issues",
  "Language": "en-US",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-24 13:27:49 UTC",
    "User": "root"
  },
  "Author": "Dhrubajyoti Ghosh [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-3360-3786>), Samhita Pal [aut]\n(ORCID: <https://orcid.org/0009-0001-4930-916X>)",
  "Maintainer": "Dhrubajyoti Ghosh <dghosh3@kennesaw.edu>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-06-24 09:30:02 UTC",
  "RemoteUrl": "https://github.com/cran/ivgls",
  "RemoteRef": "HEAD",
  "RemoteSha": "93ba35304fe546098eed5031b98fb27d7f7c4e42",
  "MD5sum": "44ea2da71bbca1a7b3288f21d96fef01",
  "_user": "cran",
  "_type": "src",
  "_file": "ivgls_0.1.0.tar.gz",
  "_fileid": "cc980e055d29dc3eefc2db3291b3f8c4320029694f4f1cb8610b01ab50597cce",
  "_filesize": 116810,
  "_sha256": "cc980e055d29dc3eefc2db3291b3f8c4320029694f4f1cb8610b01ab50597cce",
  "_created": "2026-06-24T13:27:49.000Z",
  "_published": "2026-06-24T13:31:20.602Z",
  "_distro": "resolute",
  "_jobs": [
    {
      "job": 83206186228,
      "time": 148,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7851028760"
    },
    {
      "job": 83206186252,
      "time": 141,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7851025953"
    },
    {
      "job": 83205292834,
      "time": 247,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7850961506"
    },
    {
      "job": 83206186239,
      "time": 185,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7851045468"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/28101726704",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/ivgls",
  "_commit": {
    "id": "93ba35304fe546098eed5031b98fb27d7f7c4e42",
    "author": "Dhrubajyoti Ghosh <dghosh3@kennesaw.edu>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.1.0\n",
    "time": 1782293402
  },
  "_maintainer": {
    "name": "Dhrubajyoti Ghosh",
    "email": "dghosh3@kennesaw.edu",
    "login": "dhrubajyoti-ghosh",
    "description": "",
    "uuid": 284521666,
    "orcid": "0000-0002-3360-3786"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "glmnet",
      "role": "Imports"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "igraph",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "glmgraph",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "ggplot2",
      "role": "Suggests"
    },
    {
      "package": "spelling",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-26",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "0.1.0",
      "date": "2026-06-24"
    }
  ],
  "_stars": 0,
  "_contributors": [
    {
      "user": "dhrubajyoti-ghosh",
      "count": 1,
      "uuid": 284521666
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 610,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 0,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ivgls"
  },
  "_devurl": "https://github.com/djghosh1123/ivgls",
  "_searchresults": 0,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/ivgls.html",
    "extra/readme.html",
    "extra/readme.md",
    "LICENSE",
    "manual.pdf"
  ],
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2026-06-24"
    }
  ],
  "_exports": [
    "corrupt_graph",
    "eval_support",
    "generate_beta",
    "generate_data",
    "get_laplacian",
    "get_mcc",
    "iv_lasso",
    "ivgl",
    "ivgl_s",
    "make_graph",
    "run_one_replicate",
    "run_simulation"
  ],
  "_help": [
    {
      "page": "corrupt_graph",
      "title": "Corrupt a graph by random edge swaps",
      "topics": [
        "corrupt_graph"
      ]
    },
    {
      "page": "eval_support",
      "title": "Compute performance metrics for support recovery",
      "topics": [
        "eval_support"
      ]
    },
    {
      "page": "generate_beta",
      "title": "Generate a sparse true coefficient vector on a graph",
      "topics": [
        "generate_beta"
      ]
    },
    {
      "page": "generate_data",
      "title": "Simulate data for graph-IV regression",
      "topics": [
        "generate_data"
      ]
    },
    {
      "page": "get_laplacian",
      "title": "Compute the unnormalised graph Laplacian",
      "topics": [
        "get_laplacian"
      ]
    },
    {
      "page": "get_mcc",
      "title": "Matthews Correlation Coefficient for support recovery",
      "topics": [
        "get_mcc"
      ]
    },
    {
      "page": "iv_lasso",
      "title": "IV-LASSO: Two-stage LASSO without graph structure",
      "topics": [
        "iv_lasso"
      ]
    },
    {
      "page": "ivgl",
      "title": "IVGL: IV regression with graph-fused Lasso",
      "topics": [
        "ivgl"
      ]
    },
    {
      "page": "ivgl_s",
      "title": "IVGL-S: IV regression with graph Lasso and invalid-IV correction",
      "topics": [
        "ivgl_s"
      ]
    },
    {
      "page": "make_graph",
      "title": "Construct a graph adjacency matrix",
      "topics": [
        "make_graph"
      ]
    },
    {
      "page": "run_one_replicate",
      "title": "Run a single simulation replicate",
      "topics": [
        "run_one_replicate"
      ]
    },
    {
      "page": "run_simulation",
      "title": "Run a simulation study with multiple replicates",
      "topics": [
        "run_simulation"
      ]
    }
  ],
  "_readme": "https://github.com/cran/ivgls/raw/HEAD/README.md",
  "_rundeps": [
    "cli",
    "codetools",
    "cpp11",
    "foreach",
    "glmnet",
    "glue",
    "igraph",
    "iterators",
    "lattice",
    "lifecycle",
    "magrittr",
    "MASS",
    "Matrix",
    "pkgconfig",
    "Rcpp",
    "RcppEigen",
    "rlang",
    "shape",
    "survival",
    "vctrs"
  ],
  "_vignettes": [
    {
      "source": "ivgls-intro.Rmd",
      "filename": "ivgls-intro.html",
      "title": "Getting Started with ivgls",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Installation",
        "Graph construction",
        "Generating a causal coefficient vector",
        "Simulating data",
        "Fitting the estimators",
        "IV-LASSO",
        "IVGL and IVGL-S",
        "Performance evaluation",
        "Graph misspecification",
        "Simulation study",
        "Application context"
      ],
      "created": "2026-06-24 09:30:02",
      "modified": "2026-06-24 09:30:02",
      "commits": 1
    }
  ],
  "_score": 2.6989700043360187,
  "_indexed": true,
  "_nocasepkg": "ivgls",
  "_universes": [
    "cran",
    "dhrubajyoti-ghosh",
    "djghosh1123"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-06-24T13:30:19.000Z",
      "distro": "resolute",
      "commit": "93ba35304fe546098eed5031b98fb27d7f7c4e42",
      "fileid": "b0540eb93487a0da3b24d04b394b6b7e4247abe81cdbe4f2e47a3803707da52d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/28101726704"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-06-24T13:30:12.000Z",
      "distro": "resolute",
      "commit": "93ba35304fe546098eed5031b98fb27d7f7c4e42",
      "fileid": "3230f0f941acdacc3516605f515ec029f7939c79c2d3fbd101a31c25e84c8e0b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/28101726704"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.0",
      "date": "2026-06-24T13:31:07.000Z",
      "commit": "93ba35304fe546098eed5031b98fb27d7f7c4e42",
      "fileid": "226c049233f72bdabc78a8277a8723199e782786931d0bdd33688f2e3aec8b0a",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/28101726704"
    }
  ]
}