This repository contains all active research materials for a project using MWC model parameters as selectable quantitative traits.
The repository is split into seven main directories, many of which have
subdirectories. This structure has been designed to be easily navigable by
humans and computers alike, allowing for rapid location of specific files and
instructions. Within each directory is a README.md file which summarizes the
purpose of that directory as well as some examples where necessary.
Custom code written for the project that is not executed directly, but is
called from files in the code directory.
In order to use the functions within the evo_mwc module it is necessary to
install the package locally. This can simply be done by navigating in the
terminal to the main project directory and typing the command
pip install -e ./
The setup.py file will take care of the installation. The -e option within
the package allows for the constant update of the package as it might be
subject to changes as the project is being developed.
The modules contained in the package include:
viz.py: functions for data visualization and plot styling.model.py: functions related to the theoretical model to map biophysical traits to fitness functions.gaussianprocess.py,fitderiv.py: series of functions to compute derivatives from time series as detailed in Swain et al, 2016
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