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  "Package": "PolyTree",
  "Title": "Estimate Causal Polytree from Data",
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  "Authors@R": "person(\"Sourav\", \"Chatterjee\", , \"souravc@stanford.edu\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-4460-209X\"))",
  "Maintainer": "Sourav Chatterjee <souravc@stanford.edu>",
  "Description": "Given a data matrix with rows representing data vectors\nand columns representing variables, produces a directed\npolytree for the underlying causal structure. Based on the\nalgorithm developed in Chatterjee and Vidyasagar (2022)\n<arxiv:2209.07028>. The method is fully nonparametric, making\nno use of linearity assumptions, and especially useful when the\nnumber of variables is large.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.1",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-16 06:45:10 UTC",
    "User": "root"
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  "Author": "Sourav Chatterjee [aut, cre]\n(<https://orcid.org/0000-0003-4460-209X>)",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2024-03-26 02:33:12 UTC",
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    "author": "Sourav Chatterjee <souravc@stanford.edu>",
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      "role": "Imports"
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      "role": "Imports"
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    "name": "cran",
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/PolyTree"
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  "_assets": [
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    {
      "page": "condeptree",
      "title": "This is the function that computes the skeletion tree from data. The input is a matrix x whose rows are the data vectors. The sample size n is the number of rows. The number of variables p is the number of columns The function outputs the skeleton tree g.",
      "topics": [
        "condeptree"
      ]
    },
    {
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      "title": "Creates an outgoing tree from a given undirected treee.",
      "topics": [
        "outgoing"
      ]
    },
    {
      "page": "polytree",
      "title": "Causal Polytree Estimation",
      "topics": [
        "polytree"
      ]
    },
    {
      "page": "xicorln",
      "title": "This function computes the xi correlation coefficient.",
      "topics": [
        "xicorln"
      ]
    }
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    "glue",
    "gmp",
    "igraph",
    "lattice",
    "lifecycle",
    "magrittr",
    "Matrix",
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    "proxy",
    "RANN",
    "rlang",
    "vctrs"
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  "_indexed": true,
  "_nocasepkg": "polytree",
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