EcoEvo

Analyze species- and trait-based ecological and eco-evolutionary models, including Adaptive Dynamics, in Mathematica.

Documentation

There is extensive documentation, including Tutorials, installed in Mathematica's built-in Documentation. Go to Help - Wolfram Documentation and search for EcoEvo or run
```
EcoEvoDocs
```
Documentation is also available online.

Installation

Requires Mathematica 10.0 or higher.

Install directly with

PacletInstall["EcoEvo", "Site" -> "http://raw.githubusercontent.com/cklausme/EcoEvo/master"]

Alternatively, download the latest release, distributed as a .paclet file, and install it using the PacletInstall function in Mathematica. For example, assuming that the file EcoEvo-X.Y.Z.paclet was downloaded into the directory ~/Downloads, evaluate
```
Needs["PacletManager`"]
PacletInstall["~/Downloads/EcoEvo-X.Y.Z.paclet"]
```

replacing X.Y.Z with the actual version number.

Usage

Load the pacakge with
```
<<EcoEvo`
```

Questions / Comments

Email [email protected]

Version History

EcoEvo's Projects

american-gut

American Gut open-access data and IPython notebooks

community-simulator

Simulate microbial community batch culture experiments.

crossfeeding-transition

Code and data to accompany Marsland et al. (2018) "Available energy fluxes drive a transition in the diversity, stability, and functional structure of microbial communities"

eco_functions

Simulations for Consumer-Resource Models

ecoevo

EcoEvo Mathematica Package

mepp

Scripts and data to accompany arXiv:1901.09673

metabolic-homology

Predict community composition in novel environments using metabolic homology

microbiome-patterns

Scripts and data to accompany Marsland, Cui and Mehta "A minimal model for microbial biodiversity can reproduce experimentally observed ecological patterns," bioRxiv 622829 (2019)

species-packing-bound

Cavity method with linear resource dynamics

stat-trend-protein-evo

Data and code related to the manuscript "The Statistical Trends of Protein Evolution: A Lesson from AlphaFold Database".

typical-random-ecosystems

This is the code accompanying the manuscript: Cui, Wenping, Robert Marsland III, and Pankaj Mehta. "Diverse communities behave like typical random ecosystems." arXiv:1904.02610 (2019).

Recommend Projects