TSE (version 0.1.0)

Total Survey Error

Description

Calculates total survey error (TSE) for one or more surveys, using common scale-dependent and/or scale-independent metrics. On TSE, see: Weisberg, Herbert (2005, ISBN:0-226-89128-3); Biemer, Paul (2010) .

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Version

Install

install.packages('TSE')

Version

0.1.0

License

GPL (>= 2)

Maintainer

Joshua Miller

Last Published

June 20th, 2019

Functions in TSE (0.1.0)

AVERAE

Calculate average relative absolute error (aRAE)

AVERMSLE

Calculate average root mean squared logarithmic error (aRMSLE)

AVEMAE

Calculate average mean absolute error (aMAE)

TESTNUMB

A data set created by merging four smaller data sets. Three of those smaller data sets are data from three surveys (O1, O2, O3); the other is data from a "gold standard" survey (A1). All four smaller data sets consist of the same three variables (Q1, Q2, Q3): responses to the same three questions, asked by each survey from the same 10 respondents (ID), along the same 1-99 response scale.

AVERMSE

Calculate average root mean squared error (aRMSE)

AVEMAPE

Calculate average mean absolute percentage error (aMAPE)

AVESMAPE

Calculate average symmetric mean absolute percentage error (aSMAPE)

AVERSE

Calculate average relative squared error (aRSE)

FULLSD

Calculate full scale-dependent statistics

FULLSI

Calculate full scale-independent statistics

AVEMSE

Calculate average mean squared error (aMSE) with bias-variance decomposition

AVEMSLE

Calculate average mean squared logarithmic error (aMSLE)

AVERRSE

Calculate average root relative squared error (aRRSE)