Analysis of honey bee colony pesticide feeding study data using the VarroaPop+Pesticide model and Approximate Bayesian Computation.

This code supports Minucci et al. 2021. Inferring pesticide toxicity to honey bees from a field-based feeding study using a colony model and Bayesian inference

How to set up this repo:

git clone https://github.com/JeffreyMinucci/bee_neonic_abc.git
cd bee_neonic_abc
git submodule update --init

We utilize the VarroaPy python package, which wraps the VarroaPop+Pesticide program (written in C++ and the MFC library). This package is included as a submodule, but it's standalone repo can be found here.

If Github is not rendering the Jupyter Notebook files (*.ipynb), which seems to be an intermittent issue with their backend, you can view them on Jupyter's nbviewer.