## ------------------------------------------------------------------------
datax <- c(1:5,1:5,1:5,1:5,1:5,1:5,1:5,1:5,1:5,1:5,1:5,1:5,1:5,1:5,1:5,1:5,1:5,1:5,1:5,1:5,1:5)
## ------------------------------------------------------------------------
library(PredictTestbench)
## ------------------------------------------------------------------------
q <- prediction_errors(datax, nextVal = 10)
q
plot_predictions(q)
## ------------------------------------------------------------------------
#aa <- prediction_errors(dataIn= datax, nextVal = 10, MethodPath = "source('~/PredictTestbench/R/inter.R')", MethodName = "Proposed_Method")
#aa
#plot_predictions(aa)
## ------------------------------------------------------------------------
#bb <- prediction_append(existing_method = aa, dataIn= datax, nextVal = 10, MethodPath = "source('~/imputeTestbench/R/PSFimpute.R')", MethodName = "PSFimpute")
#bb
#plot_predictions(bb)
## ------------------------------------------------------------------------
# cc <- prediction_remove (existing_method = bb, index_number = 1)
# cc
# plot_predictions(cc)
## ------------------------------------------------------------------------
#a1 <- step_ahead_forecast(dataIn = datax, trainedData = 80, MethodPath = "source('~/imputeTestbench/R/PSFimpute.R')", errorParameter = 3, stepSize = 1)
#a1
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