Define correct implementation of macro_dr and define the conditions.

[lmoffatt]

The question is: is our current implementation of macro_dr correct for certain conditions?

That begs the question: how we define correct and which are the conditions.

[lmoffatt]

macro_dr does several independent things.

Among them are:

1. Simulates a kinetic model.
2. Builds an allosteric model.
3. Calculates the likelihood of a kinetic model given data or simulation.
4. Samples a probability function.
5. Calculates the evidence using 2-4 in two ways : parallel and cumulative.

[lmoffatt]

Simulate and Likelihood constitute a pair of functions that are defined together. Therefore the gradient likelihood test is a good test for both that should be implemented soon. --> #63

[lmoffatt]

Allosteric models construction should be tested--> #64