VS-Lite in Python
Project description
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.7967102.svg :target: https://doi.org/10.5281/zenodo.7967102
PyVSL
VS-Lite in Python. It contains two modes:
- The wrapper mode. PyVSL implements a python wrapper for
VS-Lite in R <https://github.com/suztolwinskiward/VSLiteR>_ and another forVS-Lite in Matlab <https://github.com/suztolwinskiward/VSLite/blob/master/VSLite_v2_3.m>_ , along with a wrapper forthe Bayesian estimator of the parameters (in Matlab) <https://github.com/suztolwinskiward/VSLite/blob/master/estimate_vslite_params_v2_3.m>_ - VS-Lite in pure Python
Documentation
- Homepage: https://fzhu2e.github.io/PyVSL
- Installation: https://fzhu2e.github.io/PyVSL/installation.html
- Tutorial (html): https://fzhu2e.github.io/PyVSL/tutorial.html
- Tutorial (Jupyter notebooks): https://github.com/fzhu2e/PyVSL/tree/master/docsrc/tutorial
References
- Tolwinski-Ward, S. E., Anchukaitis, K. J. & Evans, M. N. Bayesian parameter estimation and interpretation for an intermediate model of tree-ring width. Climate of the Past 9, 1481–1493 (2013).
- Tolwinski-Ward, S. E., Evans, M. N., Hughes, M. K. & Anchukaitis, K. J. An efficient forward model of the climate controls on interannual variation in tree-ring width. Clim Dyn 36, 2419–2439 (2011).
How to cite this repo
This repo can be cited with DOI: 10.5281/zenodo.7967102 <https://doi.org/10.5281/zenodo.7967102>_
