Description Usage Arguments Value Examples
ComputePred
computes the predicted values and the prediction error std for each
statistical unit
1 2 3 4 | ComputePred(object, Param)
## S4 method for signature 'contObsPredModelParam,PredValueTSParam'
ComputePred(object, Param)
|
object |
Object of class contObsPredModelParam containing the statistical units whose predicted values and prediction error std is to be computed. |
Param |
Object of virtual class PredParam with the parameters determining the variables and the method of computation of the predicted values and prediction error std. |
Object of class contObsPredModelParam with the predicted values and prediction error std computed for each variable specified in the parameters and each statistical unit.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | ## Not run:
library(xlsx)
library(StQ)
library(RepoReadWrite)
library(StQImputation)
library(StQPrediction)
DD <- RepoXLSToDD('S:/E30183/E30183.NombresVariables_V1.xlsx')
FD <- ReadRepoFile('S:/E30183/E30183.FD_V1.MM032016.P_1', DD, perl = TRUE)
ObsPredPar <- new(Class = 'contObsPredModelParam',
Data = FD,
VarRoles = list(Units = 'NOrden', Domains = c('Tame_05._4.', 'ActivEcono_35._4._2.1.4._0')))
TS.list <- list(Reg = list('RegDiffTSPred', forward = 2L),
Stat = list('StatDiffTSPred', forward = 2L),
StatReg = list('StatRegDiffTSPred', forward = 2L))
VarNames <- c('CifraNeg_13.___', 'Personal_07.__2.__')
BestTSPredParam <- new(Class='BestTSPredParam', TSPred.list = TS.list, VarNames = VarNames)
PredTSParam <- new(Class = 'PredTSParam',
TS = FF.StQList,
Param = BestTSPredParam)
ImpParam <- new(Class = 'MeanImputationParam',
VarNames = c('PredCifraNeg_13.___', 'PredErrorSTDCifraNeg_13.___',
'PredPersonal_07.__2.__', 'PredErrorSTDPersonal_07.__2.__'),
DomainNames = c('Tame_05._2.'))
PredValueTSParam <- new(Class = 'PredValueTSParam',
PredictionParam = PredTSParam,
ImputationParam = ImpParam)
ObsPredPar <- ComputePred(ObsPredPar, PredValueTSParam)
## End(Not run)
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