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FAVITES-Lite is using the notation where a is the minimum and b is the maximum of the truncated distribution
In other words, the truncated distribution is in the range [a, b]
However, SciPy defines a and b as "standard deviations away from loc"
I added a helper function that takes a and b in the "min" and "max" notation, converts them, and then calls the SciPy function
The "Truncated Normal" sample times model was actually correct before (I was doing the conversion between notations here, just not in the mutation rates model), but I've updated it to use this new helper function