AbsLossErrorMoment: 'AbsLossErrorMoment' computes the conditional error moments

In david-salgado/SelEditFunctions: Functions for selective editing

Description

AbsLossErrorMoment computes the conditional error moments

Usage

AbsLossErrorMoment(Raw, Pred, nu, sigma, w, p, Homoskedastic = TRUE)

Arguments

Raw	Numeric vector with the raw values of the object variable for each statistical unit.
Pred	Numeric vector with the predicted values for the object variable for each statistical unit.
nu	Numeric vector with the prediction error standard deviation for each statistical unit.
sigma	Numeric vector with the observation error standard deviation for each statistical unit.
w	Numeric vector with the design weights for each statistical unit.
p	Numeric vector with the probabilities of measurement error for each statistical unit.
Homoskedastic	TRUE (default) or FALSE indicating whether to use a homoskedastic or heteroskedastic model.

Value

Numeric vector with the values moments for each statistical unit.

Examples

AbsLossErrorMoment(10000, 12000, 2500, 5000, 1.9, 0.75)

david-salgado/SelEditFunctions documentation built on Oct. 22, 2019, 6:25 a.m.