Metadata-Version: 2.1
Name: pymsm
Version: 0.1.0
Summary: Multistate modelling on python
Home-page: https://github.com/hrossman/pymsm
License: MIT
Keywords: Multistate models
Author: Hagai Rossman
Author-email: hagairossman@gmail.com>, Ayya Keshet <ayya.keshet@gmail.com
Requires-Python: >=3.8,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: ipykernel (>=6.9.1,<7.0.0)
Requires-Dist: joblib (>=1.1.0,<2.0.0)
Requires-Dist: jupyter (>=1.0.0,<2.0.0)
Requires-Dist: lifelines (>=0.26.4,<0.27.0)
Requires-Dist: matplotlib (>=3.5.1,<4.0.0)
Requires-Dist: numpy (>=1.22.2,<2.0.0)
Requires-Dist: pandas (>=1.4.1,<2.0.0)
Requires-Dist: scikit-learn (>=1.0.2,<2.0.0)
Requires-Dist: scikit-survival (>=0.17.0,<0.18.0)
Requires-Dist: tqdm (>=4.62.3,<5.0.0)
Project-URL: Repository, https://github.com/hrossman/pymsm
Description-Content-Type: text/markdown

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# PyMSM
Python implemantation of Multistate competing risk models.

## Installation
`pip install pymsm`

## Usage examples
[First example](https://github.com/hrossman/pymsm/blob/main/src/pymsm/examples/first_example.ipynb)  
[EBMT example](https://github.com/hrossman/pymsm/blob/main/src/pymsm/examples/ebmt.ipynb)


## Resources  
[Original R code repository](https://github.com/JonathanSomer/covid-19-multi-state-model)  
[Roimi et. al. Methods supplementary](https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/jamia/28/6/10.1093_jamia_ocab005/1/ocab005_supplementary_data.pdf?Expires=1643875060&Signature=jEb1TAvDfCw7w3YZ4M1N1hy~BZN1J38RCOLtAmhEY14pASyoQPX9F51ne-5WmRd9oKWn-m52~GGhsy5RnpAIpt0VmnoDmCEA51a1lpnsxn-nt~suKCA2mM2ldM7nPb31xAnFTpX638cob3bGMc3vlj3WKxpLDIUuAqF2lmQf0h5cXeeJXLW1NOAyjlHn1Xj387oSs~vQJfjJ7dwKEVH6M3mtKf1tELJo9CRkSMJuDBApoL7lCgeeM9PuJDT-SHwH9debf10Sk5QvbelLWJpSwSU35ifMEpHxqXputuoPj0z9tdmzjkSXDGN2wIucNnUa9mloF8eNCOWLhYqHjusTPg__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA)  
[R mstate package tutorial](https://cran.r-project.org/web/packages/mstate/vignettes/Tutorial.pdf)

