PyVSL

VS-Lite in Python. It contains two modes:

1. The wrapper mode. PyVSL implements a python wrapper for VS-Lite in R and another for VS-Lite in Matlab , along with a wrapper for the Bayesian estimator of the parameters (in Matlab)

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).

Contents

• Installation
  • Install the Conda environment
    • Step 1: Download the installation script for miniconda3
    • Step 2: Install Miniconda3
    • Step 3: Test your Installation
  • Install PyVSL
• Tutorial
  • Quickstart
    • VS-Lite in pure Python
    • Quickstart: the wrapper for VS-Lite in R
    • Quickstart: the wrapper for VS-Lite in Matlab
    • Quickstart: the wrapper for the parameters estimator in Matlab
    • Compare VS-Lite in pure Python with the wrappers