{
  "_id": "6a2a95ba7b7a29ca6004ea38",
  "Encoding": "UTF-8",
  "Package": "hJAM",
  "Type": "Package",
  "Title": "Hierarchical Joint Analysis of Marginal Summary Statistics",
  "Version": "1.0.0",
  "Author": "Lai Jiang <jian848@usc.edu>",
  "Maintainer": "Lai Jiang <jian848@usc.edu>",
  "Description": "Provides functions to implement a hierarchical approach\nwhich is designed to perform joint analysis of summary\nstatistics using the framework of Mendelian Randomization or\ntranscriptome analysis. Reference: Lai Jiang, Shujing Xu,\nNicholas Mancuso, Paul J. Newcombe, David V. Conti (2020). \"A\nHierarchical Approach Using Marginal Summary Statistics for\nMultiple Intermediates in a Mendelian Randomization or\nTranscriptome Analysis.\"\n<bioRxiv><doi:10.1101/2020.02.03.924241>.",
  "License": "MIT + file LICENSE",
  "LazyData": "true",
  "RoxygenNote": "6.1.1",
  "VignetteBuilder": "knitr",
  "URL": "https://github.com/lailylajiang/hJAM",
  "BugReports": "https://github.com/lailylajiang/hJAM/issues",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-11 10:26:50 UTC",
    "User": "root"
  },
  "Config/pak/sysreqs": "cmake make libicu-dev",
  "Repository": "https://cranhaven.r-universe.dev",
  "Date/Publication": "2026-06-11 01:02:00 UTC",
  "RemoteUrl": "https://github.com/cranhaven/cranhaven.r-universe.dev",
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  "RemoteSubdir": "hJAM",
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  "_user": "cranhaven",
  "_type": "src",
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  "_created": "2026-06-11T10:26:50.000Z",
  "_published": "2026-06-11T11:02:18.221Z",
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    "author": "GitHub Action <action@github.com>",
    "committer": "GitHub Action <action@github.com>",
    "message": "Add hJAM to CRANhaven, because archived on 2026-06-11 01:02:00 +0000\n",
    "time": 1781139720
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  "_maintainer": {
    "name": "Lai Jiang",
    "email": "jian848@usc.edu",
    "login": "lailylajiang",
    "description": "Biostatistics PhD",
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  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
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      "week": "2026-24",
      "n": 1
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  "_tags": [],
  "_topics": [
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    "packages",
    "r-universe"
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  "_stars": 5,
  "_contributors": [
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    "description": "CRANhaven - Repository for Recently Archived CRAN Packages"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/hJAM"
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  "_devurl": "https://github.com/lailylajiang/hjam",
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
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    "extra/contents.json",
    "extra/hJAM.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
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  "_cranurl": false,
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      "date": "2020-02-20"
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    "get_cond_A",
    "get_cond_alpha",
    "hJAM_egger",
    "hJAM_lnreg",
    "output.format",
    "SNPs_heatmap",
    "SNPs_scatter_plot"
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        "array"
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        "t2d"
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    {
      "name": "marginal_A",
      "title": "Example marginal A matrix of hJAM",
      "object": "marginal_A",
      "class": [
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        "array"
      ],
      "fields": [
        "bmi",
        "t2d"
      ],
      "rows": 210,
      "table": true,
      "tojson": true
    },
    {
      "name": "SNPs_info",
      "title": "Example SNPs' information of hJAM",
      "object": "SNPs_info",
      "class": [
        "data.frame"
      ],
      "fields": [
        "SNP",
        "Major_A",
        "ref_frq"
      ],
      "rows": 210,
      "table": true,
      "tojson": true
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  ],
  "_help": [
    {
      "page": "betas.Gy",
      "title": "Example beta list of hJAM",
      "topics": [
        "betas.Gy"
      ]
    },
    {
      "page": "conditional_A",
      "title": "Example conditional A matrix of hJAM",
      "topics": [
        "conditional_A"
      ]
    },
    {
      "page": "get_cond_A",
      "title": "Compute conditional Z matrix",
      "topics": [
        "get_cond_A"
      ]
    },
    {
      "page": "get_cond_alpha",
      "title": "Compute conditional alphas",
      "topics": [
        "get_cond_alpha"
      ]
    },
    {
      "page": "Gl",
      "title": "Example reference data of hJAM",
      "topics": [
        "Gl"
      ]
    },
    {
      "page": "hJAM_egger",
      "title": "Fit hJAM with Egger regression",
      "topics": [
        "hJAM_egger"
      ]
    },
    {
      "page": "hJAM_lnreg",
      "title": "Fit hJAM with linear regression",
      "topics": [
        "hJAM_lnreg"
      ]
    },
    {
      "page": "marginal_A",
      "title": "Example marginal A matrix of hJAM",
      "topics": [
        "marginal_A"
      ]
    },
    {
      "page": "output.format",
      "title": "Keep the output as three digits",
      "topics": [
        "output.format"
      ]
    },
    {
      "page": "print.hJAM_egger",
      "title": "Print out for hJAM_egger",
      "topics": [
        "print.hJAM_egger"
      ]
    },
    {
      "page": "print.hJAM_lnreg",
      "title": "Print out for hJAM_lnreg",
      "topics": [
        "print.hJAM_lnreg"
      ]
    },
    {
      "page": "SNPs_heatmap",
      "title": "Heatmap for all the SNPs used in the analysis",
      "topics": [
        "SNPs_heatmap"
      ]
    },
    {
      "page": "SNPs_info",
      "title": "Example SNPs' information of hJAM",
      "topics": [
        "SNPs_info"
      ]
    },
    {
      "page": "SNPs_scatter_plot",
      "title": "Scatter plot for all the SNPs used in the analysis",
      "topics": [
        "SNPs_scatter_plot"
      ]
    }
  ],
  "_readme": "https://github.com/cranhaven/cranhaven.r-universe.dev/raw/package/hJAM/hJAM/README.md",
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  ],
  "_vignettes": [
    {
      "source": "hJAM_vignette.Rmd",
      "filename": "hJAM_vignette.html",
      "title": "hJAM Vignette",
      "author": "Lai Jiang",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Implementation",
        "General input",
        "Get conditional $\\hat{A}$ matrix",
        "Example",
        "Data exploration",
        "Conversion of $\\hat{A}$ matrix",
        "hJAM",
        "Conclusion"
      ],
      "created": "2026-06-11 01:02:00",
      "modified": "2026-06-11 01:02:00",
      "commits": 1
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  "_score": 3.3979400086720375,
  "_indexed": false,
  "_nocasepkg": "hjam",
  "_universes": [
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  "_indexurl": "https://uscbiostats.r-universe.dev/hJAM",
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