.. 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:
1. The wrapper mode. PyVSL implements a python wrapper for `VS-Lite in R <https://github.com/suztolwinskiward/VSLiteR>`_ and another for `VS-Lite in Matlab <https://github.com/suztolwinskiward/VSLite/blob/master/VSLite_v2_3.m>`_ , along with a wrapper for `the Bayesian estimator of the parameters (in Matlab) <https://github.com/suztolwinskiward/VSLite/blob/master/estimate_vslite_params_v2_3.m>`_
2. 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>`_
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