Total Survey Error (Independent Samples)
Full scale-dependent statistics (MAE, MSE, RMSE, MSLE, and RMSLE)
Full scale-independent statistics (MAPE, SMAPE, RAE, RSE, and RRSE)
Mean absolute error (MAE)
Mean absolte percentage error (MAPE)
Mean squared error (MSE) with bias-variance decomposition
Mean squared logarithmic error (MSLE)
Relative absolute error (RAE)
Root mean squared error (MAE)
Root mean squared logarithmic error (RMSLE)
Root relative squared error (RRSE)
Relative squared error (RSE)
Symmetric mean absolte percentage error (SMAPE)
Calculates total survey error (TSE) for one or more surveys, using both scale-dependent and scale-independent metrics. Package works directly from the data set, with no hand calculations required: just upload a properly structured data set (see TESTIND and its documentation), properly input column names (see functions documentation), and run your functions. For more on TSE, see: Weisberg, Herbert (2005, ISBN:0-226-89128-3); Biemer, Paul (2010) <doi:10.1093/poq/nfq058>; Biemer, Paul et.al. (2017, ISBN:9781119041672); etc.