Tools for performing 2D parameter space analysis for deterministic models
Project description
parameter-space-2d
Tools for performing 2D parameter space analysis for deterministic models
Method
Parameter space maps are built up by performing an iterative grid search, preferentially exploring parameter regimes close to detected boundaries. Various checks are in place to ensure that any detected boundaries are fully explored.
Example of a model with two states (blue and orange) and variable input parameters β and ε
Installation
pip install parameter-space-2d
Instructions
The repository contains a couple of notebooks with instructions for performing analysis, using the Goehring et al. (2011) PAR polarity model as an example. To run the notebooks interactively, click here:
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for parameter_space_2d-0.1.4-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ecb4fec3cbb3ffb0c324cd3ecc686676140aece7de7e039ac9bafab2f21e339e |
|
| MD5 | 5d510f39c4958f9875e9b31137d6422d |
|
| BLAKE2b-256 | 387aeb15fcc3792f8bc48b9c57ad0f27986a408590bd5bd40001b7305b503eb6 |
