{
  "channels": [
    "conda-forge",
    "defaults"
  ],
  "conda_build_version": "3.18.11",
  "conda_private": false,
  "conda_version": "4.8.2",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "conda-forge/r"
    ]
  },
  "home": "https://www.uva.nl/profile/a.mohammadi",
  "identifiers": [],
  "keywords": [],
  "license": "GPL-2",
  "license_family": "GPL2",
  "license_file": [
    "D:\\bld\\r-bdgraph_1579943262994\\_h_env/lib/R/share/licenses/GPL-2"
  ],
  "root_pkgs": [
    "anaconda-client 1.7.2 py_0",
    "asn1crypto 1.3.0 py36_0",
    "attrs 19.3.0 py_0",
    "beautifulsoup4 4.8.2 py36_0",
    "bzip2 1.0.8 hfa6e2cd_2",
    "ca-certificates 2019.11.28 hecc5488_0",
    "certifi 2019.11.28 py36_0",
    "cffi 1.13.2 py36hb32ad35_0",
    "chardet 3.0.4 py36_1003",
    "click 7.0 py_0",
    "clyent 1.2.2 py_1",
    "conda 4.8.2 py36_0",
    "conda-build 3.18.11 py36_0",
    "conda-env 2.6.0 1",
    "conda-forge-ci-setup 2.5.4 py36_0",
    "conda-package-handling 1.6.0 py36h2fa13f4_1",
    "console_shortcut 0.1.1 3",
    "cryptography 2.8 py36hb32ad35_1",
    "decorator 4.4.1 py_0",
    "filelock 3.0.10 py_0",
    "glob2 0.7 py_0",
    "idna 2.8 py36_1000",
    "importlib_metadata 1.4.0 py36_0",
    "ipython_genutils 0.2.0 py_1",
    "jinja2 2.10.3 py_0",
    "jsonschema 3.2.0 py36_0",
    "jupyter_core 4.6.1 py36_0",
    "libarchive 3.3.3 hd0049e4_1007",
    "libiconv 1.15 hfa6e2cd_1005",
    "liblief 0.9.0 ha925a31_2",
    "libxml2 2.9.10 h9ce36c8_0",
    "lz4-c 1.8.3 he025d50_1001",
    "lzo 2.10 hfa6e2cd_1000",
    "m2w64-gcc-libgfortran 5.3.0 6",
    "m2w64-gcc-libs 5.3.0 7",
    "m2w64-gcc-libs-core 5.3.0 7",
    "m2w64-gmp 6.1.0 2",
    "m2w64-libwinpthread-git 5.0.0.4634.697f757 2",
    "markupsafe 1.1.1 py36hfa6e2cd_0",
    "menuinst 1.4.16 py36_0",
    "more-itertools 8.1.0 py_0",
    "msys2-conda-epoch 20160418 1",
    "nbformat 5.0.4 py_0",
    "openssl 1.1.1d hfa6e2cd_0",
    "pip 20.0.2 py36_0",
    "pkginfo 1.5.0.1 py_0",
    "powershell_shortcut 0.0.1 2",
    "psutil 5.6.7 py36hfa6e2cd_0",
    "py-lief 0.9.0 py36ha925a31_2",
    "pycosat 0.6.3 py36hfa6e2cd_1002",
    "pycparser 2.19 py36_1",
    "pyopenssl 19.1.0 py36_0",
    "pyrsistent 0.15.7 py36hfa6e2cd_0",
    "pysocks 1.7.1 py36_0",
    "python 3.6.7 he025d50_1006",
    "python-dateutil 2.8.1 py_0",
    "python-libarchive-c 2.9 py36_0",
    "pytz 2019.3 py_0",
    "pywin32 225 py36hfa6e2cd_0",
    "pyyaml 5.1.2 py36hfa6e2cd_0",
    "requests 2.22.0 py36_1",
    "ripgrep 11.0.2 h301d43c_3",
    "ruamel_yaml 0.15.71 py36hfa6e2cd_1000",
    "setuptools 45.1.0 py36_0",
    "six 1.14.0 py36_0",
    "soupsieve 1.9.4 py36_0",
    "sqlite 3.27.2 he774522_0",
    "tqdm 4.42.0 py_0",
    "traitlets 4.3.3 py36_0",
    "urllib3 1.25.7 py36_0",
    "vc 14.1 h0510ff6_4",
    "vs2008_express_vc_python_patch 1.0.0 0",
    "vs2015_runtime 14.15.26706 h3a45250_0",
    "wheel 0.33.6 py36_0",
    "wincertstore 0.2 py36_1003",
    "win_inet_pton 1.1.0 py36_0",
    "xz 5.2.4 h2fa13f4_1001",
    "yaml 0.1.7 hc54c509_2",
    "zipp 2.0.0 py_2",
    "zlib 1.2.11 h2fa13f4_1006",
    "zstd 1.4.4 hd8a0e53_1"
  ],
  "summary": "Statistical tools for Bayesian structure learning in undirected graphical models for continuous, discrete, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models literature, including Mohammadi and Wit (2015) <doi:10.1214/14-BA889>, Mohammadi and Wit (2019) <doi:10.18637/jss.v089.i03>.",
  "tags": []
}