v0.2.0

New feature: folded SFS

Thanks to work by @apragsdale, demographic history can be inferred from the folded SFS using reference-polarized data instead of ancestral-state-polarized data. See the new folded option for kSFS.infer_history() and kSFS.plot_total

patch

exclude docs, docsrc, etc. from package build

First release of package 🍄

First release of the mushi python package, and artifacts referenced in manuscript

Český Krumlov

This is a pre-release intended for the [2020 Český Krumlov Workshop on Population and Speciation Genomics].(http://evomics.org/2020-workshop-on-population-and-speciation-genomics-cesky-krumlov/)

0. If you don't have the Conda package manager installed, you'll need that.
1. Follow Conda environment setup in README.md
2. Launch the Jupyter notebook containing the activity:

   $ jupyter notebook cesky-krumlov-tcc-pulse-timing.ipynb