{
  "channels": [
    "conda-forge",
    "defaults"
  ],
  "conda_build_version": "3.12.0",
  "conda_private": false,
  "conda_version": "4.5.9",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "home": "https://github.com/glmmTMB/glmmTMB",
  "license": "AGPL-3",
  "license_family": "AGPL",
  "root_pkgs": [
    "anaconda-client 1.7.1 py_0",
    "asn1crypto 0.24.0 py36_0",
    "beautifulsoup4 4.6.1 py36_0",
    "ca-certificates 2018.4.16 0",
    "certifi 2018.4.16 py36_0",
    "cffi 1.11.5 py36h945400d_0",
    "chardet 3.0.4 py36h420ce6e_1",
    "clyent 1.2.2 py_1",
    "conda 4.5.9 py36_0",
    "conda-build 3.12.0 py36_2",
    "conda-env 2.6.0 h36134e3_1",
    "conda-forge-ci-setup 1.3.5 0",
    "console_shortcut 0.1.1 h6bb2dd7_3",
    "cryptography 2.2.2 py36hfa6e2cd_0",
    "decorator 4.3.0 py_0",
    "filelock 3.0.4 py_1",
    "glob2 0.6 py_0",
    "idna 2.6 py36h148d497_1",
    "ipython_genutils 0.2.0 py_1",
    "jinja2 2.10 py_1",
    "jsonschema 2.6.0 py36_1",
    "jupyter_core 4.4.0 py_0",
    "markupsafe 1.0 py36_0",
    "menuinst 1.4.11 py36hfa6e2cd_0",
    "nbformat 4.4.0 py_1",
    "openssl 1.0.2o hfa6e2cd_1",
    "pip 9.0.3 py36_0",
    "pkginfo 1.4.2 py_1",
    "psutil 5.4.6 py36_0",
    "pycosat 0.6.3 py36h413d8a4_0",
    "pycparser 2.18 py36hd053e01_1",
    "pyopenssl 17.5.0 py36h5b7d817_0",
    "pysocks 1.6.8 py36_0",
    "python 3.6.5 h0c2934d_0",
    "python-dateutil 2.7.3 py_0",
    "pytz 2018.5 py_0",
    "pywin32 223 py36hfa6e2cd_0",
    "pyyaml 3.12 py36_1",
    "requests 2.18.4 py36h4371aae_1",
    "ruamel_yaml 0.15.35 py36hfa6e2cd_1",
    "setuptools 39.0.1 py36_0",
    "six 1.11.0 py36h4db2310_1",
    "traitlets 4.3.2 py36_0",
    "urllib3 1.22 py36h276f60a_0",
    "vc 14.1 h0510ff6_3",
    "vs2008_express_vc_python_patch 1.0.0 0",
    "vs2015_runtime 15.5.2 3",
    "wheel 0.31.0 py36_0",
    "wincertstore 0.2 py36h7fe50ca_0",
    "win_inet_pton 1.0.1 py36he67d7fd_1",
    "yaml 0.1.7 hc54c509_2"
  ],
  "summary": "Fit linear and generalized linear mixed models with various extensions, including zero-inflation. The models are fitted using maximum likelihood estimation via 'TMB' (Template Model Builder). Random effects are assumed to be Gaussian on the scale of the linear predictor and are integrated out using the Laplace approximation. Gradients are calculated using automatic differentiation."
}