simpar v0.0.1 Release Notes

simpar 0.0.1 Release Notes

This is the initial release for simpar, a Python package providing a suite of
tools for modeling disease spread with an SIR-model under different proposed
testing stratagies. The package is designed to handle the following scenario:
a population currently spread out and returning to some central location where
they will remain for some period of time. E.g., students returning to a campus
after being sent home amidst the COVID-19 pandemic. The following modules
are included.

- micro: provides computation of days someone is infectious and free
- sim: core implementation of the SIR-model
- groups: provides the Population class which consists of meta-groups with
	  different levels of contacts
- strategy: defines Strategy representing a testing strategy
- scenario: defines Scenario representing a population, envrionment, and
  	    disease parameters
- trajectory: Trajectory class manages a single simulation execution
- metrics: provides methods to compute metrics from a Trajectory instance
- plotting: (incomplete) will provide useful plotting functions

There are a handful of TODOs that need to be addressed before release. There
should also be better testing of the groups and metrics modules. Lastly, the
plotting module needs to be updated to reflect a recent refactor.