Functions for Baseline-Based Time Series Prediction

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Documentation for package ‘TSPred’ version 2.0

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TSPred-package Functions for Baseline-Based Time Series Prediction
arimainterp Interpolation of unknown values using automatic ARIMA fitting and prediction
arimapar Get ARIMA model parameters.
arimapred Automatic ARIMA fitting and prediction
CATS Time series of the CATS Competition
CATS.cont Continuation dataset of the time series of the CATS Competition
EUNITE.Loads Electrical loads of the EUNITE Competition
EUNITE.Loads.cont Continuation dataset of the electrical loads of the EUNITE Competition
EUNITE.Reg Electrical loads regressors of the EUNITE Competition
EUNITE.Reg.cont Continuation dataset of the electrical loads regressors of the EUNITE Competition
EUNITE.Temp Temperatures of the EUNITE Competition
EUNITE.Temp.cont Continuation dataset of the temperatures of the EUNITE Competition
MAPE MAPE error of prediction
marimapar Get parameters of multiple ARIMA models.
marimapred Multiple time series automatic ARIMA fitting and prediction
MAXError Maximal error of prediction
NN3.A Dataset A of the NN3 Competition
NN3.A.cont Continuation dataset of the Dataset A of the NN3 Competition
NN5.A Dataset A of the NN5 Competition
NN5.A.cont Continuation dataset of the Dataset A of the NN5 Competition
plotarimapred Plot ARIMA predictions against actual values
SantaFe.A Time series A of the Santa Fe Time Series Competition
SantaFe.A.cont Continuation dataset of the time series A of the Santa Fe Time Series Competition
SantaFe.D Time series D of the Santa Fe Time Series Competition
SantaFe.D.cont Continuation dataset of the time series D of the Santa Fe Time Series Competition
sMAPE sMAPE error of prediction
TSPred Functions for Baseline-Based Time Series Prediction