R: Total Survey Error Under Multiple, Different Weighting Schemes

# Total Survey Error Under Multiple, Different Weighting Schemes

## Documentation for package ‘TSEwgt’ version 0.1.0

- DESCRIPTION file

## Help Pages

AVEMAEw | Average mean absolute error (aMAE)
AVEMAPEw | Average mean absolute percentage error (aMAPE)
AVEMSEw | Average mean squared error (aMSE) with bias-variance decomposition
AVEMSLEw | Average mean squared logarithmic error (aMSLE)
AVERAEw | Average relative absolute error (aRAE)
AVERMSEw | Average root mean squared error (aRMSE)
AVERMSLEw | Average root mean squared logarithmic error (aRMSLE)
AVERRSEw | Average root relative squared error (aRRSE)
AVERSEw | Average relative squared error (aRSE)
AVESMAPEw | Average symmetric mean absolute percentage error (aSMAPE)
FULLSDw | Full scale-dependent statistics
FULLSIw | Full scale-independent statistics
TESTWGT | A data set created by merging 1) "actual" data from a "gold standard" survey (A1, A2), and 2) data from another survey (Q1, Q2), including weights columns for that data (W1, W2). A1/Q1 and A2/Q2 are responses to the same two questions, asked to the same 10 respondents (ID), along the same 1-99 response scale.