Compute the inverse of the logistic function.

Input parameters:

1. x → Function argument.
2. M → Midpoint of Logistic function.
3. L → Logistic maximum value.
4. k → Logistic growth rate, or steepness.

Output parameters:

1. Re → Result of $Logit(x)$.