{
  "channels": [
    "conda-forge",
    "defaults"
  ],
  "conda_build_version": "3.18.8",
  "conda_private": false,
  "conda_version": "4.7.8",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "conda-forge/r",
      "npavlovikj"
    ]
  },
  "home": "https://github.com/chjackson/msm",
  "identifiers": [],
  "keywords": [],
  "license": "GPL (>= 2)",
  "license_family": "GPL3",
  "license_file": "D:\\bld\\r-msm_1563540705813\\_h_env/lib/R/share/licenses/GPL-2",
  "root_pkgs": [
    "anaconda-client 1.7.2 py_0",
    "asn1crypto 0.24.0 py36_1003",
    "attrs 19.1.0 py_0",
    "beautifulsoup4 4.7.1 py36_1001",
    "bzip2 1.0.8 hfa6e2cd_0",
    "ca-certificates 2019.6.16 hecc5488_0",
    "certifi 2019.6.16 py36_1",
    "cffi 1.12.3 py36hb32ad35_0",
    "chardet 3.0.4 py36_1003",
    "click 7.0 py_0",
    "clyent 1.2.2 py_1",
    "conda 4.7.8 py36_0",
    "conda-build 3.18.8 py36_0",
    "conda-env 2.6.0 1",
    "conda-forge-ci-setup 2.3.1 py36_0",
    "conda-package-handling 1.3.11 py36_0",
    "console_shortcut 0.1.1 3",
    "cryptography 2.7 py36hb32ad35_0",
    "decorator 4.4.0 py_0",
    "filelock 3.0.10 py_0",
    "glob2 0.7 py_0",
    "idna 2.8 py36_1000",
    "ipython_genutils 0.2.0 py_1",
    "jinja2 2.10.1 py_0",
    "jsonschema 3.0.1 py36_0",
    "jupyter_core 4.4.0 py_0",
    "libarchive 3.3.3 h4890af2_1006",
    "libiconv 1.15 hfa6e2cd_1005",
    "liblief 0.9.0 ha925a31_2",
    "libxml2 2.9.9 h9ce36c8_2",
    "lz4-c 1.8.3 he025d50_1001",
    "lzo 2.10 hfa6e2cd_1000",
    "markupsafe 1.1.1 py36hfa6e2cd_0",
    "menuinst 1.4.16 py36_0",
    "nbformat 4.4.0 py_1",
    "openssl 1.1.1c hfa6e2cd_0",
    "pip 19.1.1 py36_0",
    "pkginfo 1.5.0.1 py_0",
    "powershell_shortcut 0.0.1 2",
    "psutil 5.6.3 py36hfa6e2cd_0",
    "py-lief 0.9.0 py36ha925a31_2",
    "pycosat 0.6.3 py36hfa6e2cd_1001",
    "pycparser 2.19 py36_1",
    "pyopenssl 19.0.0 py36_0",
    "pyrsistent 0.15.3 py36hfa6e2cd_0",
    "pysocks 1.7.0 py36_0",
    "python 3.6.7 he025d50_1005",
    "python-dateutil 2.8.0 py_0",
    "python-libarchive-c 2.8 py36_1004",
    "pytz 2019.1 py_0",
    "pywin32 224 py36hfa6e2cd_1000",
    "pyyaml 5.1.1 py36hfa6e2cd_0",
    "requests 2.22.0 py36_1",
    "ruamel_yaml 0.15.71 py36hfa6e2cd_1000",
    "setuptools 41.0.1 py36_0",
    "six 1.12.0 py36_1000",
    "soupsieve 1.9.2 py36_0",
    "sqlite 3.27.2 he774522_0",
    "tqdm 4.32.2 py_0",
    "traitlets 4.3.2 py36_1000",
    "urllib3 1.25.3 py36_0",
    "vc 14.1 h0510ff6_4",
    "vs2008_express_vc_python_patch 1.0.0 0",
    "vs2015_runtime 14.15.26706 h3a45250_0",
    "wheel 0.33.4 py36_0",
    "wincertstore 0.2 py36_1002",
    "win_inet_pton 1.1.0 py36_0",
    "xz 5.2.4 h2fa13f4_1001",
    "yaml 0.1.7 hc54c509_2",
    "zlib 1.2.11 h2fa13f4_1005",
    "zstd 1.4.0 hd8a0e53_0"
  ],
  "summary": "Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data.  Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.",
  "tags": []
}