ObsErrorSTDMLEParam-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 ObsErrorSTDMLEParam for the parameters of the ML estimation of the obervation error variance.

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 probability of measurement error are to be computed.

Imputation

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

Examples

# An empty ObsErrorSTDMLEParam object:
new(Class = 'ObsErrorSTDMLEParam')

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



## End(Not run)

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