get_cost_mpe

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

The MPE is equal to average deviation between all EAC(t) forecasts and the final total project cost. Cost predictions can be done by eigth forecasting methods and are explained in P2Tracking:get_eac_cost. 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 PFNO Avg_MPE_EAC
output float PF1 Avg_MPE_EAC_PF1
output float PFCPI Avg_MPE_EAC_PFCPI
output float PFSPI Avg_MPE_EAC_PFSPI
output float PFSPIT Avg_MPE_EAC_PFSPIT
output float PFSCI Avg_MPE_EAC_PFSCI
output float PFSCIT Avg_MPE_EAC_PFSCIT
output float PFweightedSPICPI Avg_MPE_EAC_PFweightedSPICPI
output float PFweightedSPITCPI Avg_MPE_EAC_PFweightedSPITCPI
Learn More: 

Step inside PMKC.

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