Total Survey Error (Independent Samples)

Documentation for package ‘TSEind’ version 0.1.0

FULLSDi	Full scale-dependent statistics (MAE, MSE, RMSE, MSLE, and RMSLE)
FULLSIi	Full scale-independent statistics (MAPE, SMAPE, RAE, RSE, and RRSE)
MAEi	Mean absolute error (MAE)
MAPEi	Mean absolte percentage error (MAPE)
MSEi	Mean squared error (MSE) with bias-variance decomposition
MSLEi	Mean squared logarithmic error (MSLE)
RAEi	Relative absolute error (RAE)
RMSEi	Root mean squared error (MAE)
RMSLEi	Root mean squared logarithmic error (RMSLE)
RRSEi	Root relative squared error (RRSE)
RSEi	Relative squared error (RSE)
SMAPEi	Symmetric mean absolte percentage error (SMAPE)
TESTIND	A data set created by merging 1) data from a "gold standard" survey and 2) data from other surveys of the same universe. Data from the "gold standard" survey are assumed to be the survey universe's "actual" response; data from the other surveys have survey error which the functions in 'TSEind' can calculate. Data are organized by survey (columns) and survey question (rows), and their values are the aggregate, "topline" responses to the survey questions which can range from 1 to 99 (the scale used by each survey question).