A few ideas how to develop the project further, currently a list as a reminder for the main developers themselves, in no particular order, though with a tendency to list more important aspects first:

For version 0.2

  • Scaling of model and data: How?

  • Fitting of several concurrent models (i.e., “species”) to one dataset

  • Omitting regions of data from fitting

For later versions

  • Global fitting of several datasets at once

    • Sharing all or only a selection of parameters

    • Defining offsets for a parameter for the different datasets

  • Parallelise LHS


A list of todos, extracted from the code and documentation itself, and only meant as convenience for the main developers. Ideally, this list will be empty at some point.