Total Survey Error Under Multiple, Different Weighting Schemes
Average mean absolute error (aMAE)
Average mean absolute percentage error (aMAPE)
Average mean squared error (aMSE) with bias-variance decomposition
Average mean squared logarithmic error (aMSLE)
Average relative absolute error (aRAE)
Average root mean squared error (aRMSE)
Average root mean squared logarithmic error (aRMSLE)
Average root relative squared error (aRRSE)
Average relative squared error (aRSE)
Average symmetric mean absolute percentage error (aSMAPE)
Full scale-dependent statistics
Full scale-independent statistics
Calculates total survey error (TSE) for a survey under multiple, different weighting schemes, 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 TESTWGT 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.