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        "author": "Omri Treidel",
        "author_email": "treidel2@gmail.com",
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        "classifiers": [
            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
        ],
        "description": "# cmprsk - Competing Risks Regression\nRegression modeling of sub-distribution functions in competing risks.\n\nA python wrapper around the [cmprsk](https://cran.r-project.org/web/packages/cmprsk/index.html) R package.\n\n*Description*: Estimation, testing and regression modeling of\nsubdistribution functions in competing risks, as described in Gray\n(1988), A class of K-sample tests for comparing the cumulative\nincidence of a competing risk, **Ann. Stat. 16:1141-1154, and Fine JP and\nGray RJ (1999), A proportional hazards model for the subdistribution\nof a competing risk, JASA, 94:496-509**.\n\n[Original Package documentation](https://cran.r-project.org/web/packages/cmprsk/cmprsk.pdf)\n\n## Requierments\nThis package is using `rpy2` in order to use import the cmprsk R packge and therefore the [requierments for rpy2](https://rpy2.readthedocs.io/en/version_2.8.x/overview.html?highlight=readline#requirements) must be met.\n\nTL;DR\n* Unix like OS: Linux, MacOS, BSD. (May work on Windows, look at [rpy2 binaries])(https://rpy2.readthedocs.io/en/version_2.8.x/overview.html#microsoft-s-windows-precompiled-binaries). \n* python >= 3.5\n* R >= 3.3 [how to install R](https://www.datacamp.com/community/tutorials/installing-R-windows-mac-ubuntu)\n* readline 7.0 - Should be installed as part of `rpy2`. [how to install on MacOS](http://blogs.perl.org/users/aristotle/2013/07/easy-osx-termreadlinegnu.html) see also the following [issue](https://github.com/conda-forge/rpy2-feedstock/issues/1)\n* The`cmprsk` R library (open the R consule and run `install.packages('cmprsk')`)\n\n## Quickstart\n\n### Example: crr\n\n```python\n\nimport pandas as pd\n\nimport cmprsk.cmprsk as cmprsk\n\nfrom cmprsk import utils\n\ndata = pd.read_csv('my_data_fle')\n# assuming that x1,x2,x3, x4 are covatiates. \n# x1 are x4 are categorical with baseline 'd' for x1 and 5 for x2 \nstatic_covariates = utils.as_indicators(data[['x1', 'x2', 'x3', 'x4']], ['x1', 'x4'], bases=['d', 5])\n\ncrr_result = cmprsk.crr(ftime, fstatus, static_covariates)\nreport = crr_result.summary\n\nprint(report)\n\n```\n`ftime` and `fstatus` can be numpy array or pandas series, and `static_covariates` is a pandas DataFrame.\nThe `report` is a pandas `DataFrame` as well. \n\n### Example: cuminc\n\n```python\nimport matplotlib.plt\nimport numpy as np\nimport pandas as pd\n\n\nfrom cmprsk import cmprsk\n\ndata  = pd.read_csv('cmprsk/cmprsk/tests/test_set.csv')\nprint(data)\n\n\ncuminc_res = cmprsk.cuminc(data.ss, data.cc, group=data.gg, strata=data.strt)\n\n# print\ncuminc_res.print\n\n# plot using matplotlib\n\n_, ax = plt.subplots()\nfor name, group in cuminc_res.groups.items():\n    ax.plot(group.time, group.est, label=name)\n    ax.fill_between(group.time, group.low_ci, group.high_ci, alpha=0.4)\n\nax.set_ylim([0, 1])\nax.legend()\nax.set_title('foo bar')\nplt.show()\n\n```\n\n\n### How to update package:\n0. update version in setup.py\n1. rm -fr dist directory\n2. python setup.py sdist bdist_wheel \n3. twine upload  dist/* --verbose\n\n\n",
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        "name": "cmprsk",
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