{
  "channels": [
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    "defaults"
  ],
  "conda_build_version": "3.14.4",
  "conda_private": false,
  "conda_version": "4.5.11",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "nick-youngblut",
      "johanneskoester",
      "bgruening",
      "daler",
      "jdblischak",
      "cbrueffer",
      "dbast"
    ]
  },
  "home": "http://web.ccs.miami.edu/~hishwaran http://www.kogalur.com https://github.com/kogalur/randomForestSRC",
  "identifiers": [],
  "keywords": [],
  "license": "GPL (>= 3)",
  "license_family": "GPL3",
  "license_file": "C:\\bld\\r-randomforestsrc_1537085828213\\_h_env\\R\\share\\licenses\\GPL-3",
  "root_pkgs": [
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    "pytz 2018.5 py_0",
    "pywin32 223 py36hfa6e2cd_0",
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  "summary": "Fast OpenMP parallel processing for Breiman's random forests for survival, competing risks, regression and classification based on Ishwaran and Kogalur's popular random survival forests (RSF) package.  Handles missing data and now includes multivariate, unsupervised forests and quantile regression.  New fast interface using subsampling. ",
  "tags": []
}