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Merge pull request #64 from tee-lab/readme-update
Updates to readme file
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@@ -143,3 +143,6 @@ conda_build | |
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# macOS temporary files | ||
.DS_Store | ||
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# R temporary files | ||
.Rhistory |
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Citing PyDaddy | ||
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If you are using this package in your research, please cite the repository and the associated paper as follows: | ||
If you are using this package or any of the included code in your research, please cite the associated manuscript as follows: | ||
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Nabeel, A., Karichannavar, A., Palathingal, S., Jhawar, J., Bruckner, D., Danny Raj, M., & Guttal, V. (2022). PyDaddy: A Python Package for Discovering SDEs from Time Series Data (Version 1.1.1) [Computer software]. https://github.com/tee-lab/PyDaddy | ||
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Nabeel, A., Karichannavar, A., Palathingal, S., Jhawar, J., Bruckner, D., Danny Raj, M., & Guttal, V. (2022). PyDaddy: A Python package for discovering stochastic dynamical equations from timeseries data. arXiv preprint arXiv:2205.02645. | ||
Nabeel, A., Karichannavar, A., Palathingal, S., Jhawar, J., Brückner, D., Danny Raj, M., & Guttal, V. (2022). PyDaddy: A Python package for discovering stochastic dynamical equations from timeseries data. arXiv preprint arXiv:2205.02645. |