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  "Package": "DiPhiSeq",
  "Type": "Package",
  "Title": "Robust Tests for Differential Dispersion and Differential\nExpression in RNA-Sequencing Data",
  "Version": "0.2.0",
  "Authors@R": "c(person(\"Jun\", \"Li\", email = \"jun.li@nd.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Alicia T.\", \"Lamere\", role = c(\"aut\")))",
  "Description": "Implements the algorithm described in Jun Li and Alicia T.\nLamere, \"DiPhiSeq: Robust comparison of expression levels on\nRNA-Seq data with large sample sizes\" (Unpublished). Detects\nnot only genes that show different average expressions\n(\"differential expression\", DE), but also genes that show\ndifferent diversities of expressions in different groups\n(\"differentially dispersed\", DD). DD genes can be important\nclinical markers. 'DiPhiSeq' uses a redescending penalty on the\nquasi-likelihood function, and thus has superior robustness\nagainst outliers and other noise. Updates from version 0.1.0:\n(1) Added the option of using adaptive initial value for phi.\n(2) Added a function for estimating the proportion of outliers\nin the data. (3) Modified the input parameter names for\nclarity, and modified the output format for the main function.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "6.0.1",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-29 09:46:11 UTC",
    "User": "root"
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  "Author": "Jun Li [aut, cre], Alicia T. Lamere [aut]",
  "Maintainer": "Jun Li <jun.li@nd.edu>",
  "Repository": "https://jli-stat.r-universe.dev",
  "Date/Publication": "2018-10-24 21:40:07 UTC",
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    "message": "version 0.2.0\n",
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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      "date": "2018-06-14"
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      "title": "Numeric count matrix of example data.",
      "object": "example_data",
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        "array"
      ],
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    {
      "page": "diphiseq",
      "title": "Main function. For most users, this function is all what they need for the analysis.",
      "topics": [
        "diphiseq"
      ]
    },
    {
      "page": "example_data",
      "title": "Numeric count matrix of example data.",
      "topics": [
        "example_data"
      ]
    },
    {
      "page": "outprop",
      "title": "Give a rough estimate of the proportion of outliers in the data based on the results of DiPhiSeq.",
      "topics": [
        "outprop"
      ]
    },
    {
      "page": "robnb",
      "title": "Calculates the estimate and standard error of beta and phi. It takes as input counts from one group of samples for a single gene. This function is the core underlining function of the whole package. A significant part of the code is edited based on William H. Aeberhard's glmrob.nb R function; we appreciate them very much for sharing their code online. This function also implement Algorithm 1 of our submitted paper about DiPhiSeq. This function is called by robtest. Most users don't need to call this function directly.",
      "topics": [
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      ]
    },
    {
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      ]
    }
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