{
  "channels": [
    "conda-forge",
    "defaults"
  ],
  "conda_build_version": "3.20.4",
  "conda_private": false,
  "conda_version": "4.9.0",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "conda-forge/r"
    ]
  },
  "home": "http://www.mat.puc.cl/~ajara",
  "identifiers": [],
  "keywords": [],
  "license": "GPL-2.0-or-later",
  "license_family": "GPL3",
  "license_file": [
    "D:\\bld\\r-dppackage_1603215236852\\_h_env/lib/R/share/licenses/GPL-2"
  ],
  "root_pkgs": [
    "anaconda-client 1.7.2 py_0",
    "attrs 20.2.0 pyh9f0ad1d_0",
    "beautifulsoup4 4.9.3 pyhb0f4dca_0",
    "brotlipy 0.7.0 py36hc753bc4_1001",
    "bzip2 1.0.8 he774522_3",
    "ca-certificates 2020.6.20 hecda079_0",
    "certifi 2020.6.20 py36hd36e781_2",
    "cffi 1.14.3 py36h2e103f8_1",
    "chardet 3.0.4 py36hd36e781_1008",
    "click 7.1.2 pyh9f0ad1d_0",
    "clyent 1.2.2 py_1",
    "conda 4.9.0 py36hd36e781_1",
    "conda-build 3.20.4 py36hd36e781_1",
    "conda-env 2.6.0 1",
    "conda-forge-ci-setup 3.4.1 py36h99c5faf_1",
    "conda-package-handling 1.7.2 py36ha9b6521_0",
    "console_shortcut 0.1.1 3",
    "cryptography 3.1.1 py36h2e103f8_1",
    "decorator 4.4.2 py_0",
    "filelock 3.0.12 pyh9f0ad1d_0",
    "glob2 0.7 py_0",
    "idna 2.10 pyh9f0ad1d_0",
    "importlib-metadata 2.0.0 py_1",
    "importlib_metadata 2.0.0 1",
    "ipython_genutils 0.2.0 py_1",
    "jinja2 2.11.2 pyh9f0ad1d_0",
    "jsonschema 3.2.0 py_2",
    "jupyter_core 4.6.3 py36h9f0ad1d_2",
    "libarchive 3.4.3 h793d221_0",
    "libiconv 1.16 he774522_0",
    "liblief 0.10.1 ha925a31_2",
    "libxml2 2.9.10 h1006b36_2",
    "lz4-c 1.9.2 h62dcd97_2",
    "lzo 2.10 he774522_1000",
    "m2-bash 4.3.042 5",
    "m2-ca-certificates 20150426 103",
    "m2-coreutils 8.25 102",
    "m2-curl 7.47.1 3",
    "m2-db 5.3.28 3",
    "m2-expat 2.1.1 2",
    "m2-findutils 4.6.0 2",
    "m2-gcc-libs 5.3.0 4",
    "m2-gdbm 1.11 4",
    "m2-git 2.8.1 2",
    "m2-gmp 6.1.0 3",
    "m2-gzip 1.7 2",
    "m2-heimdal 1.5.3 10",
    "m2-heimdal-libs 1.5.3 10",
    "m2-icu 56.1 2",
    "m2-info 6.0 2",
    "m2-less 481 2",
    "m2-libcrypt 1.3 2",
    "m2-libcurl 7.47.1 3",
    "m2-libdb 5.3.28 3",
    "m2-libedit 3.1 20150326",
    "m2-libexpat 2.1.1 2",
    "m2-libffi 3.2.1 2",
    "m2-libgdbm 1.11 4",
    "m2-libiconv 1.14 3",
    "m2-libidn 1.32 2",
    "m2-libintl 0.19.7 4",
    "m2-libmetalink 0.1.2 3",
    "m2-libopenssl 1.0.2.g 2",
    "m2-libp11-kit 0.23.2 2",
    "m2-libpcre 8.38 2",
    "m2-libreadline 6.3.008 8",
    "m2-libsqlite 3.10.0.0 2",
    "m2-libssh2 1.6.0 2",
    "m2-libtasn1 4.7 2",
    "m2-msys2-runtime 2.5.0.17080.65c939c 3",
    "m2-ncurses 6.0.20160220 2",
    "m2-openssh 7.1p2 2",
    "m2-openssl 1.0.2.g 2",
    "m2-p11-kit 0.23.2 2",
    "m2-patch 2.7.5 2",
    "m2-perl 5.22.1 2",
    "m2-perl-authen-sasl 2.16 3",
    "m2-perl-convert-binhex 1.123 3",
    "m2-perl-encode-locale 1.04 2",
    "m2-perl-error 0.17024 2",
    "m2-perl-file-listing 6.04 3",
    "m2-perl-html-parser 3.71 4",
    "m2-perl-html-tagset 3.20 3",
    "m2-perl-http-cookies 6.01 3",
    "m2-perl-http-daemon 6.01 3",
    "m2-perl-http-date 6.02 3",
    "m2-perl-http-message 6.06 3",
    "m2-perl-http-negotiate 6.01 3",
    "m2-perl-io-socket-ssl 2.016 2",
    "m2-perl-io-stringy 2.111 2",
    "m2-perl-libwww 6.13 2",
    "m2-perl-lwp-mediatypes 6.02 3",
    "m2-perl-mailtools 2.14 2",
    "m2-perl-mime-tools 5.506 2",
    "m2-perl-net-http 6.09 2",
    "m2-perl-net-smtp-ssl 1.02 2",
    "m2-perl-net-ssleay 1.72 2",
    "m2-perl-termreadkey 2.33 2",
    "m2-perl-timedate 2.30 3",
    "m2-perl-uri 1.68 2",
    "m2-perl-www-robotrules 6.02 3",
    "m2-sed 4.2.2 3",
    "m2-vim 7.4.1721 2",
    "m2-zlib 1.2.8 4",
    "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 py36hc753bc4_2",
    "menuinst 1.4.16 py36h9f0ad1d_1",
    "msys2-conda-epoch 20160418 1",
    "nbformat 5.0.8 py_0",
    "openssl 1.1.1h he774522_0",
    "pip 20.2.4 py_0",
    "pkginfo 1.5.0.1 py_0",
    "powershell_shortcut 0.0.1 2",
    "psutil 5.7.2 py36hc753bc4_1",
    "py-lief 0.10.1 py36h33355b6_2",
    "pycosat 0.6.3 py36hc753bc4_1005",
    "pycparser 2.20 pyh9f0ad1d_2",
    "pyopenssl 19.1.0 py_1",
    "pyrsistent 0.17.3 py36h779f372_1",
    "pysocks 1.7.1 py36hd36e781_2",
    "python 3.6.11 h6f26aa1_2_cpython",
    "python-dateutil 2.8.1 py_0",
    "python-libarchive-c 2.9 py36hd36e781_2",
    "python_abi 3.6 1_cp36m",
    "pytz 2020.1 pyh9f0ad1d_0",
    "pywin32 228 py36h779f372_0",
    "pyyaml 5.1.2 py36hfa6e2cd_0",
    "requests 2.24.0 pyh9f0ad1d_0",
    "ripgrep 12.1.1 h301d43c_1",
    "ruamel_yaml 0.15.87 py36he774522_0",
    "setuptools 49.6.0 py36hd36e781_2",
    "six 1.15.0 pyh9f0ad1d_0",
    "soupsieve 2.0.1 py_1",
    "sqlite 3.27.2 he774522_0",
    "tqdm 4.50.2 py_0",
    "traitlets 4.3.3 py36h9f0ad1d_1",
    "urllib3 1.25.11 py_0",
    "vc 14.1 h0510ff6_4",
    "vs2008_express_vc_python_patch 1.0.0 0",
    "vs2015_runtime 14.16.27012 hf0eaf9b_3",
    "wheel 0.35.1 pyh9f0ad1d_0",
    "wincertstore 0.2 py36h9f0ad1d_1005",
    "win_inet_pton 1.1.0 py36h9f0ad1d_1",
    "xz 5.2.5 h62dcd97_1",
    "yaml 0.1.7 hc54c509_2",
    "zipp 3.3.1 py_0",
    "zlib 1.2.11 h62dcd97_1010",
    "zstd 1.4.5 h1f3a1b7_2"
  ],
  "summary": "Functions to perform inference via simulation from the posterior distributions for Bayesian nonparametric and semiparametric models. Although the name of the package was motivated by the Dirichlet Process prior, the package considers and will consider other priors on functional spaces. So far, DPpackage includes models considering Dirichlet Processes, Dependent Dirichlet Processes, Dependent Poisson- Dirichlet Processes, Hierarchical Dirichlet Processes, Polya Trees, Linear Dependent Tailfree Processes, Mixtures of Triangular distributions, Random Bernstein polynomials priors and Dependent Bernstein Polynomials.  The package also includes models considering Penalized B-Splines.  Includes semiparametric models for marginal and conditional density estimation, ROC curve analysis, interval censored data, binary regression models, generalized linear mixed models, IRT type models, and generalized additive models. Also contains functions to compute Pseudo-Bayes factors for model comparison, and to elicitate the precision parameter of the Dirichlet Process. To maximize computational efficiency, the actual sampling for each model is done in compiled FORTRAN. The functions return objects which can be subsequently analyzed with functions provided in the 'coda' package.",
  "tags": []
}