VeVaPy 0.1.2

A Python package for streamlined V&V of HPA axis models.

VeVaPy Instructions

Table of Contents

1. Installation
2. Binder Setup
3. Model Selection
4. Dependencies Required to Run Models Locally
5. General Instructions

Installation

VeVaPy is most easily installed with the command

pip install VeVaPy

However, it can also be downloaded directly from Github and placed in the directory of the model files you wish to test. In this case, see Dependencies Required to Run Models Locally for the packages you'll need.

In order to avoid downloading anything to your local machine, you can also use a virtual Jupyter environment through Binder. See Binder Setup for instructions.

Binder Setup

Clicking the "Launch Binder" link above will open this repository in Binder, which allows you to run all of the Jupyter notebook files in your web browser without needing to have any software installed.

The Binder environment will already have all of the necessary Python modules ready, so all you need to do is open a model file and start running simulations.

Model Selection

This repository contains five different models and a general template for creating new ones, each in their own Jupyter notebook file. Below is a table listing all of the models included with short descriptions of them.

Filename	Authors	Year	Model Description
Bairagi-2008.ipynb	N. Bairagi, S. Chatterjee & J. Chattopadhyay	2008	One of the five models described in my paper.
Bangsgaard-Ottesen-2017.ipynb	E.O. Bangsgaard & J.T. Ottesen	2017	One of the five models described in my paper.
Malek-2015.ipynb	H. Malek, M.H. Ebadzadeh, R. Safabakhsh, A. Razavi & J. Zaringhalam	2015	One of the five models described in my paper.
Somvanshi-2020.ipynb	P.R. Somvanshi, S.H. Mellon, R. Yehuda, J.D. Flory, L. Bierer, I. Makotkine, C. Marmar, M. Jett & F.J. Doyle III	2020	One of the five models described in my paper.
Sriram-2012.ipynb	K. Sriram, M. Rodriguez-Fernandez & F.J. Doyle III	2012	One of the five models described in my paper.
VeVaPy Model Template.ipynb	Christopher Parker	2022	Basic template for editing to easily verify and validate mathematical models of the Hypothalamic-Pituitary-Adrenal axis

Dependencies Required to Run Models Locally

If you would prefer to run the models on your local machine, rather than in a Binder environment, the requirements listed in the following table will need to be met.

Software	Version	URL
Python	3.7.7	https://www.python.org/downloads/
Jupyterlab	2.1.5	https://www.jupyter.org/install
NumPy	1.21.5	https://numpy.org/install/
matplotlib	3.0.1	https://matplotlib.org/stable/users/installing/index.html
pandas	0.23.4	https://pandas.pydata.org/docs/getting_started/install.html
mpld3	0.5.7	https://mpld3.github.io/install.html
SciPy	1.1.0	https://scipy.org/install/
tabulate	0.8.9	https://pypi.org/project/tabulate/

General Instructions

Once you have set up a Binder environment or installed all of the dependencies locally, open any of the five models discussed in the paper and select "Instructions" from the Table of Contents. Each model has instructions tailored to its specific needs, although they are largely the same. Good luck, and have fun!