ErrorProbMLEParam-class: S4 class for the parameters of the ML estimation of the...

In david-salgado/contObsPredModelParam: Class and methods for the parameters of a continuous observation- prediction model

Description

Definition of the S4 class named ErrorProbMLEParam for the parameters of the ML estimation of the probability of measurement error.

Slots

RawData

StQList object with the raw data.

EdData

StQList object with the edited data.

VarNames

Character vector with the names of the variables whose error probabilities are to be computed.

Imputation

ImputationParam object with the parameters to imputed missing values during the computation of the error probabilities.

Examples

# An empty contObsPredModelParam object:
new(Class = 'ErrorProbMLEParam')

## Not run: 
ImpParam <- new(Class = 'MeanImputationParam',
                VarNames = 'CifraNeg_13.___',
                DomainNames =  'Tame_05._4.')
ErrorProbMLEParam <- new(Class = 'ErrorProbMLEParam',
                         RawData = FD.StQList,
                         EdData = FF.StQList,
                         VarNames = 'CifraNeg_13.___',
                         Imputation = ImpParam)



## End(Not run)

david-salgado/contObsPredModelParam documentation built on Nov. 7, 2019, 5:45 p.m.