TSEwgt (version 0.1.0)

AVEMSEw: Average mean squared error (aMSE) with bias-variance decomposition

Description

Calculates average mean squared error (aMSE) with bias-variance decomposition under multiple, different weighting schemes

Usage

AVEMSEw(Actual = data.frame(), Survey = data.frame(),
  Weights = data.frame())

Arguments

Actual

data from a "gold standard" survey; objects are variable columns from "gold standard" survey that corruspond to variable columns Survey

Survey

data from a survey; objects are variable columns from a survey that corruspond to variable columns from Actual

Weights

weights to be applied to Survey data; objects are weights columns

Value

Average mean squared error (aMSE) with bias-variance decomposition under multiple, different weighting schemes

Details

aMSE for weighting scheme # => mean value of the MSEs for specified variables under weighting scheme # => mean value of MSEs for objects in Survey=data.frame() * objects in Weights=data.frame()

Examples

# NOT RUN {
AVEMSEw(Actual=data.frame(TESTWGT$A1, TESTWGT$A2),
Survey=data.frame(TESTWGT$Q1, TESTWGT$Q2),
Weights=data.frame(TESTWGT$W1, TESTWGT$W2))
# }