Umibato

Umibato is a method for estimating time-varying microbial interactions using time-series quantitative data based on the Lotka-Volterra equation. Details for this method are described in this paper. Umibato is implemented as a python Class. Variational inference for CTRHMM, the second step of Umibato, is written in C++. You can also perform Umibato on UNIX shells using run_umibato.py.