-Catalyst supports the usage of "functional parameters". In practice these are not parameters, but a way to inject custom functions into models. This can be used when rates depend on real data, or to represent complicated functions ( which uses e.g. `for` loops or random number generation). Here, the function's values are declared as a data interpolation, which is then used as the functional parameter's value in the simulation. On this page, we first show how to create time-dependent functional parameters, and then give an example where the functional parameter depends on a species value.
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