R: Total Survey Error (Independent Samples)

# Total Survey Error (Independent Samples)

## Documentation for package ‘TSEind’ version 0.1.0

- DESCRIPTION file

## Help Pages

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).