Dynamic Energy Budget models in Python
copied from cf-post-staging / pydebpydeb is a Python package for building and analyzing Dynamic Energy Budget models. It supports phylogenetic inference of DEB models for new species, simulation of growth, reproduction and survival, and Bayesian inference with the Adaptive Metropolis algorithm. It is designed for high performance and can analyze 100,000 parameter sets in under 2 minutes on most workstations.