معرفی شرکت ها


cmprsk-1.1.0


Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

A python wrapper around cmprsk R package
ویژگی مقدار
سیستم عامل -
نام فایل cmprsk-1.1.0
نام cmprsk
نسخه کتابخانه 1.1.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Omri Treidel
ایمیل نویسنده treidel2@gmail.com
آدرس صفحه اصلی https://github.com/OmriTreidel/cmprsk
آدرس اینترنتی https://pypi.org/project/cmprsk/
مجوز -
# cmprsk - Competing Risks Regression Regression modeling of sub-distribution functions in competing risks. A python wrapper around the [cmprsk](https://cran.r-project.org/web/packages/cmprsk/index.html) R package. *Description*: Estimation, testing and regression modeling of subdistribution functions in competing risks, as described in Gray (1988), A class of K-sample tests for comparing the cumulative incidence of a competing risk, **Ann. Stat. 16:1141-1154, and Fine JP and Gray RJ (1999), A proportional hazards model for the subdistribution of a competing risk, JASA, 94:496-509**. [Original Package documentation](https://cran.r-project.org/web/packages/cmprsk/cmprsk.pdf) ## Requirements ### python * Only python 3 is now supported. Recommended python version >= 3.8 ### * The original version of this package was written with `rpy2` version 2.9.4. Since then, `rpy2` had many breaking changes. Therefore `cmprsk` version **0.X.Y** only works with `rpy2` version 2.9.X. * The `cmprsk` package v **1.X.Y** is now up-to-date and is using `rpy2` 3.4.5. ### Installation steps * install `R` * install `cmprsk` R package: open R terminal and run `install.packages("cmprsk")` * create a virtual environment (recommended) * install`rpy2` - if using `conda` for creating the virtual environment on MacOS M1 (apple silicon) install `rpy2` using pip (tested on version 3.5.9) * install `pandas` (tested on version 1.5.3) * install `scipy` (tested on version 1.10.1) * install `pytest` and `pytest-cov` for running unit tests (dev) only This package is using `rpy2` in order to use import the cmprsk R packge and therefore the [requirements for rpy2](https://rpy2.readthedocs.io/en/version_2.8.x/overview.html?highlight=readline#requirements) must be met. TL;DR * 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). * python >= 3.5 * R >= 3.3 [how to install R](https://www.datacamp.com/community/tutorials/installing-R-windows-mac-ubuntu) * 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) * The`cmprsk` R library (open the R consule and run `install.packages('cmprsk')`) ## Quickstart For example usage consult the tutorial notebook in this repo: `package_usage.ipynb` ### Example: crr ```python import pandas as pd import cmprsk.cmprsk as cmprsk from cmprsk import utils data = pd.read_csv('my_data_file.csv') # assuming that x1,x2,x3, x4 are covatiates. # x1 are x4 are categorical with baseline 'd' for x1 and 5 for x2 static_covariates = utils.as_indicators(data[['x1', 'x2', 'x3', 'x4']], ['x1', 'x4'], bases=['d', 5]) crr_result = cmprsk.crr(data['ftime'], data['fstatus'], static_covariates) report = crr_result.summary print(report) ``` `ftime` and `fstatus` can be numpy array or pandas series, and `static_covariates` is a pandas DataFrame. The `report` is a pandas `DataFrame` as well. ### Example: cuminc ```python import matplotlib.plt import numpy as np import pandas as pd from cmprsk import cmprsk data = pd.read_csv('cmprsk/cmprsk/tests/example_dataset.csv') cuminc_res = cmprsk.cuminc(data.ss, data.cc, group=data.gg, strata=data.strt) # print cuminc_res.print # plot using matplotlib _, ax = plt.subplots() for name, group in cuminc_res.groups.items(): ax.plot(group.time, group.est, label=name) ax.fill_between(group.time, group.low_ci, group.high_ci, alpha=0.4) ax.set_ylim([0, 1]) ax.legend() ax.set_title('foo bar') plt.show() ``` ## Development For running the unit tests run pytest --cov=cmprsk cmprsk/tests/ from the project root. Note: you'll need to install [pytest-cov](https://pypi.org/project/pytest-cov/). Current coverage ```buildoutcfg ---------- coverage: platform darwin, python 3.9.7-final-0 ----------- Name Stmts Miss Cover ---------------------------------------------------- cmprsk/__init__.py 0 0 100% cmprsk/cmprsk.py 128 22 83% cmprsk/rpy_utils.py 44 10 77% cmprsk/tests/__init__.py 0 0 100% cmprsk/tests/test_cmprsk.py 30 0 100% cmprsk/tests/test_rpy_utils.py 27 1 96% cmprsk/tests/test_utils.py 37 0 100% cmprsk/utils.py 23 1 96% ---------------------------------------------------- TOTAL 289 34 88% ``` ### How to update package: 0. update version in setup.py 1. rm -fr dist directory 2. python setup.py sdist bdist_wheel 3. twine upload dist/* --verbose


نیازمندی

مقدار نام
- numpy
- pandas
- rpy2
- scipy


نحوه نصب


نصب پکیج whl cmprsk-1.1.0:

    pip install cmprsk-1.1.0.whl


نصب پکیج tar.gz cmprsk-1.1.0:

    pip install cmprsk-1.1.0.tar.gz