Merge pull request #1612 from ArnoStrouwen/patch-2

add measured quantities

Author: YingboMa

docs/src/tutorials/parameter_identifiability.md

@@ -74,7 +74,7 @@ We can see that all states (except $x_7$) and all parameters are locally identif
 Let's try to check specific parameters and their combinations
 ```julia
 to_check = [k5, k7, k10/k9, k5+k6]
-local_id_some = assess_local_identifiability(de, funcs_to_check=to_check, p=0.99)
+local_id_some = assess_local_identifiability(de, measured_quantities=measured_quantities, funcs_to_check=to_check, p=0.99)
                 # 4-element Vector{Bool}:
                 #  1
                 #  1
@@ -176,4 +176,4 @@ Both parameters `b, c` are globally identifiable with probability `0.9` in this
     > Goodwin, B.C. [*Oscillatory behavior in enzymatic control processes*](https://doi.org/10.1016/0065-2571(65)90067-1), Advances in Enzyme Regulation, Vol 3 (C), 425-437, 1965
 
 [^4]:
-    > Dong, R., Goodbrake, C., Harrington, H. A., & Pogudin, G. [*Computing input-output projections of dynamical models with applications to structural identifiability*](https://arxiv.org/pdf/2111.00991). arXiv preprint arXiv:2111.00991.
+    > Dong, R., Goodbrake, C., Harrington, H. A., & Pogudin, G. [*Computing input-output projections of dynamical models with applications to structural identifiability*](https://arxiv.org/pdf/2111.00991). arXiv preprint arXiv:2111.00991.