ups

Author: TorkelE

docs/Project.toml

@@ -15,6 +15,7 @@ OptimizationOptimisers = "42dfb2eb-d2b4-4451-abcd-913932933ac1"
 OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
 PEtab = "48d54b35-e43e-4a66-a5a1-dde6b987cf69"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
+QuasiMonteCarlo = "8a4e6c94-4038-4cdc-81c3-7e6ffdb2a71b"
 SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
 SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
 Setfield = "efcf1570-3423-57d1-acb7-fd33fddbac46"

docs/src/inverse_problems/petab_ode_param_fitting.md

@@ -468,7 +468,7 @@ Here, the event only triggers whenever the condition changes from `false` to `tr
 
 Whenever we have several events or not, we bundle them together in a single vector which is later passed to the `PEtabODEProblem` using the `events` argument:
 ```@example petab1
-events = [event, event2]
+events = [event1, event2]
 petab_model = PEtabModel(rn, observables, measurements, params; state_map=u0, events=events)
 ```