{
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  "Package": "CJAMP",
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  "Title": "Copula-Based Joint Analysis of Multiple Phenotypes",
  "Version": "0.1.1",
  "Authors@R": "c( person(\"Stefan\", \"Konigorski\", email = \"stefan.konigorski@gmail.com\", role = c(\"aut\", \"cre\")), person(\"Yildiz E.\", \"Yilmaz\", email = \"yyilmaz@mun.ca\", role = c(\"ctb\", \"ths\")))",
  "Description": "We provide a computationally efficient and robust\nimplementation of the recently proposed C-JAMP (Copula-based\nJoint Analysis of Multiple Phenotypes) method (Konigorski et\nal., 2019, submitted). C-JAMP allows estimating and testing the\nassociation of one or multiple predictors on multiple outcomes\nin a joint model, and is implemented here with a focus on\nlarge-scale genome-wide association studies with two\nphenotypes. The use of copula functions allows modeling a wide\nrange of multivariate dependencies between the phenotypes, and\nprevious results are supporting that C-JAMP can increase the\npower of association studies to identify associated genetic\nvariants in comparison to existing methods (Konigorski, Yilmaz,\nPischon, 2016, <DOI:10.1186/s12919-016-0045-6>; Konigorski,\nYilmaz, Bull, 2014, <DOI:10.1186/1753-6561-8-S1-S72>). In\naddition to the C-JAMP functions, functions are available to\ngenerate genetic and phenotypic data, to compute the minor\nallele frequency (MAF) of genetic markers, and to estimate the\nphenotypic variance explained by genetic markers.",
  "License": "GPL-2",
  "Encoding": "UTF-8",
  "VignetteBuilder": "knitr",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-06 05:27:11 UTC",
    "User": "root"
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  "Author": "Stefan Konigorski [aut, cre], Yildiz E. Yilmaz [ctb, ths]",
  "Maintainer": "Stefan Konigorski <stefan.konigorski@gmail.com>",
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  "Repository": "https://skonigor.r-universe.dev",
  "Date/Publication": "2019-03-20 21:23:33 UTC",
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    "name": "Stefan Konigorski",
    "description": "Senior Researcher"
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    "cjamp",
    "cjamp_loop",
    "compute_expl_var",
    "compute_MAF",
    "generate_clayton_copula",
    "generate_doubleton_data",
    "generate_genodata",
    "generate_phenodata_1",
    "generate_phenodata_1_simple",
    "generate_phenodata_2_bvn",
    "generate_phenodata_2_copula",
    "generate_singleton_data",
    "get_estimates_naive",
    "lrt_copula",
    "lrt_param",
    "minusloglik"
  ],
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    {
      "page": "cjamp",
      "title": "C-JAMP: Copula-based joint analysis of multiple phenotypes.",
      "topics": [
        "cjamp",
        "cjamp_loop"
      ]
    },
    {
      "page": "compute_expl_var",
      "title": "Phenotypic variance explained by genetic variants.",
      "topics": [
        "compute_expl_var"
      ]
    },
    {
      "page": "compute_MAF",
      "title": "Compute minor allele frequency of genetic variants.",
      "topics": [
        "compute_MAF"
      ]
    },
    {
      "page": "generate_clayton_copula",
      "title": "Generate data from the Clayton copula.",
      "topics": [
        "generate_clayton_copula"
      ]
    },
    {
      "page": "generate_genodata",
      "title": "Functions to generate genetic data.",
      "topics": [
        "generate_doubleton_data",
        "generate_genodata",
        "generate_singleton_data"
      ]
    },
    {
      "page": "generate_phenodata",
      "title": "Functions to generate phenotype data.",
      "topics": [
        "generate_phenodata",
        "generate_phenodata_1",
        "generate_phenodata_1_simple",
        "generate_phenodata_2_bvn",
        "generate_phenodata_2_copula"
      ]
    },
    {
      "page": "get_estimates_naive",
      "title": "Naive estimates of the copula and marginal parameters.",
      "topics": [
        "get_estimates_naive"
      ]
    },
    {
      "page": "lrt",
      "title": "Compute likelihood ratio tests.",
      "topics": [
        "lrt",
        "lrt_copula",
        "lrt_param"
      ]
    },
    {
      "page": "minusloglik",
      "title": "Minus log-likelihood of copula models.",
      "topics": [
        "minusloglik"
      ]
    },
    {
      "page": "summary.cjamp",
      "title": "Summary function.",
      "topics": [
        "summary.cjamp"
      ]
    }
  ],
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      "title": "C-JAMP: Copula-based Joint Analysis of Multiple Phenotypes",
      "author": "Stefan Konigorski",
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      "headings": [
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        "Background on copula functions",
        "Data generation functions",
        "C-JAMP: Copula-based joint analysis of multiple phenotypes",
        "References"
      ],
      "created": "2018-04-24 09:00:42",
      "modified": "2019-03-20 21:23:33",
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