{
  "channels": [
    "conda-forge",
    "defaults"
  ],
  "conda_build_version": "3.15.1",
  "conda_private": false,
  "conda_version": "4.5.12",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "conda-forge/r",
      "philip-khor"
    ]
  },
  "home": "https://github.com/grf-labs/grf",
  "identifiers": [],
  "keywords": [],
  "license": "GPL-3",
  "license_family": "GPL3",
  "license_file": "C:\\bld\\r-grf_1546343455666\\_h_env/lib/R/share/licenses/GPL-3",
  "root_pkgs": [
    "anaconda-client 1.7.1 py_0",
    "asn1crypto 0.24.0 py36_0",
    "attrs 18.2.0 py_0",
    "beautifulsoup4 4.6.3 py36_1000",
    "ca-certificates 2018.11.29 ha4d7672_0",
    "certifi 2018.11.29 py36_1000",
    "cffi 1.11.5 py36h945400d_0",
    "chardet 3.0.4 py36h420ce6e_1",
    "click 7.0 py_0",
    "clyent 1.2.2 py_1",
    "conda 4.5.12 py36_1000",
    "conda-build 3.15.1 py36_0",
    "conda-env 2.6.0 h36134e3_1",
    "conda-forge-ci-setup 2.1.1 py36_0",
    "console_shortcut 0.1.1 h6bb2dd7_3",
    "cryptography 2.3.1 py36h74b6da3_1000",
    "decorator 4.3.0 py_0",
    "filelock 3.0.10 py_0",
    "glob2 0.6 py_0",
    "idna 2.6 py36h148d497_1",
    "ipython_genutils 0.2.0 py_1",
    "jinja2 2.10 py_1",
    "jsonschema 3.0.0a3 py36_1000",
    "jupyter_core 4.4.0 py_0",
    "markupsafe 1.1.0 py36hfa6e2cd_1000",
    "menuinst 1.4.14 py36hfa6e2cd_0",
    "nbformat 4.4.0 py_1",
    "openssl 1.0.2p hfa6e2cd_1001",
    "pip 10.0.1 py36_0",
    "pkginfo 1.4.2 py_1",
    "psutil 5.4.8 py36hfa6e2cd_1000",
    "pycosat 0.6.3 py36h413d8a4_0",
    "pycparser 2.18 py36hd053e01_1",
    "pyopenssl 18.0.0 py36_0",
    "pyrsistent 0.14.8 py36hfa6e2cd_1000",
    "pysocks 1.6.8 py36_0",
    "python 3.6.5 h0c2934d_0",
    "python-dateutil 2.7.5 py_0",
    "pytz 2018.7 py_0",
    "pywin32 223 py36hfa6e2cd_1",
    "pyyaml 3.13 py36hfa6e2cd_1001",
    "requests 2.18.4 py36h4371aae_1",
    "ruamel_yaml 0.15.37 py36hfa6e2cd_2",
    "setuptools 39.2.0 py36_0",
    "six 1.11.0 py36h4db2310_1",
    "tqdm 4.28.1 py_0",
    "traitlets 4.3.2 py36_1000",
    "urllib3 1.22 py36h276f60a_0",
    "vc 14.1 h0510ff6_4",
    "vs2008_express_vc_python_patch 1.0.0 0",
    "vs2015_runtime 14.15.26706 h3a45250_0",
    "wheel 0.31.1 py36_0",
    "wincertstore 0.2 py36h7fe50ca_0",
    "win_inet_pton 1.0.1 py36he67d7fd_1",
    "yaml 0.1.7 hc54c509_2"
  ],
  "summary": "A pluggable package for forest-based statistical estimation and inference. GRF currently provides methods for non-parametric least-squares regression, quantile regression, and treatment effect estimation (optionally using instrumental variables). This package is currently in beta, and we expect to make continual improvements to its performance and usability.",
  "tags": []
}