FixedTSPred: Method to predict a prefixed value for time series.

In elisa-esteban/TSPred: Point and std prediction of time series

Description

This method implements the predicted value and their standard deviations as a prefixed value.

Usage

FixedTSPred(x, VarNames, value = 0L)

## S4 method for signature 'vector'
FixedTSPred(x, VarNames, value = 0L)

## S4 method for signature 'StQList'
FixedTSPred(x, VarNames, value = 0L)

Arguments

x	object upon which the prediction will be made.
VarNames	character vector with the variable names for which the prediction will be made; by default it is NULL.
value	numeric vector with the value for the prediction and the standard deviation.

Value

It returns a data.table with components Pred and STD, containing the point prediction and the estimated standard deviations, respectively, for each variable.

Examples

# Predicting one and two months ahead in time
data(Example1.TS)
FixedTSPred(Example1.TS, value = 0L)

# Predicting upon a times series with many NA values
data(Example2.TS)
FixedTSPred(Example2.TS, value = 0L)

## Not run: 
# With an object of class StQList
data(StQListExample)
VarNames <- c('Personal_07.')
FixedTSPred(StQListExample, VarNames, value = 0L)

## End(Not run)

elisa-esteban/TSPred documentation built on April 28, 2020, 3:58 a.m.