ComputeErrorMoment: 'ComputeErrorMoments' computes the moments of measurement...

In david-salgado/SelEditErrorMoment: compute the conditional measurement error moments under the optimization approach to selective editing

Description

ComputeErrorMoments computes the moments of measurement error for each statistical unit

Usage

ComputeErrorMoment(object, Param)


  ## S4 method for signature 'contObsPredModelParam,AbsLossErrorMomentParam'
ComputeErrorMoment(object,
  Param)

Arguments

object	Object of class contObsPredModelParam containing the statistical units whose moments of measurement error for each variable is to be computed.
Param	Object of virtual class ErrorMomentParam with the parameters determining the method of computation of the moments of each statistical unit.

Value

Object of class ErrorMoments with the measurement error computed for each variable and each statistical unit.

Examples

## Not run: 
ObsPredPar <- readRDS('../ObsPredPar.rds')
ImpParam <- new(Class = 'MeanImputationParam',
                VarNames = c('CifraNeg_13.___', 'Personal_07.__2.__'),
                DomainNames =  c('Tame_05._2.', 'ActivEcono_35._4._2.1.4._0'))

AbsLossPar <- new(Class = 'AbsLossErrorMomentParam',
                  VarNames =  c("CifraNeg_13.___", "Personal_07.__2.__"),
                  Homoskedastic = c(FALSE, FALSE),
                  Imputation = ImpParam)


ComputeErrorMoment(ObsPredPar, AbsLossPar)


## End(Not run)

david-salgado/SelEditErrorMoment documentation built on July 31, 2019, 11:32 p.m.