get_time_mpe

Get the Mean Percentage Error (MPE) to evaluate to forecast accuracy of the time predictions made by Earned Value Management data.

The MPE is equal to average deviation between all EAC(t) forecasts and the final project duration. Time predictions can be done by nine forecasting methods and are explained in P2Tracking:get_eac_time. The PME values are only available when the evm parameter of the P2Simulator:run_simulation has been set to 1 during its execution.

Warning: The MPE values are average MPE values for all simulation runs and not for an individual simulation run.

Parameters: 
I/O Type Name Description
output float Avg_MPE_PV1 Avg_MPE_PV1
output float Avg_MPE_PV2 Avg_MPE_PV2
output float Avg_MPE_PV3 Avg_MPE_PV3
output float Avg_MPE_ED1 Avg_MPE_ED1
output float Avg_MPE_ED2 Avg_MPE_ED2
output float Avg_MPE_ED3 Avg_MPE_ED3
output float Avg_MPE_ES1 Avg_MPE_ES1
output float Avg_MPE_ES2 Avg_MPE_ES2
output float Avg_MPE_ES3 Avg_MPE_ES3
Learn More: 

Step inside PMKC.

Example: 
function ()
        io.write('\n')
end
Class: 
P2Simulator