1. Installation

The easy way is just to use pip

 $ pip install tedi

and version 1.3 will be installed on your computer.

Another possibility is to download the repository from GitHub. Once done you just have to install it using poetry running

 $ poetry install

and tedi will be installed on your computer.

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1.1. FAQ

• Will it work on Windows, MacOS and Linux?

I've made this package while on Linux, so it will work there. The other operating systems I just don't know but try it and open an issue if necessary!

 

• What other packages do I need?

Besides the standard, or in other words, the ones everyone should have by default in Python like numpy, scipy, and matplotlib, tedi also makes use of two other packages.

emcee is a Python implementation of Goodman & Weare’s Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble sampler that I use and recommend to run your MCMC. In the near future, I would also like to make use of dynesty to estimate Bayesian posteriors and evidence but so far I've been unsuccessful on using it (aka I still trying to learn how to use it).

corner is a small and easy to use the package to make corner plots of the results we get from emcee.