ARIMA                   Time series prediction models
BCT                     Box Cox Transformation
CATS                    Time series of the CATS Competition
CATS.cont               Continuation dataset of the time series of the
                        CATS Competition
Diff                    Differencing Transformation
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
LT                      Time series transformation methods
LogT                    Logarithmic Transformation
MAPE                    MAPE error of prediction
MAXError                Maximal error of prediction
MSE                     MSE error of prediction
MSE_eval                Prediction/modeling quality metrics
NMSE                    NMSE 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
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
TSPred-package          Functions for Benchmarking Time Series
                        Prediction
WaveletT                Automatic wavelet transform
an                      Adaptive Normalization
arimainterp             Interpolation of unknown values using automatic
                        ARIMA fitting and prediction
arimaparameters         Get ARIMA model parameters
arimapred               Automatic ARIMA fitting and prediction
benchmark               Benchmarking a time series prediction process
detrend                 Detrending Transformation
emd                     Automatic empirical mode decomposition
evaluate                Evaluating prediction/modeling quality
evaluate.tspred         Evaluate method for 'tspred' objects
evaluating              Prediction/modeling quality evaluation
fittestArima            Automatic ARIMA fitting, prediction and
                        accuracy evaluation
fittestArimaKF          Automatic ARIMA fitting and prediction with
                        Kalman filter
fittestEMD              Automatic prediction with empirical mode
                        decomposition
fittestLM               Automatically finding fittest linear model for
                        prediction
fittestMAS              Automatic prediction with moving average
                        smoothing
fittestPolyR            Automatic fitting and prediction of polynomial
                        regression
fittestPolyRKF          Automatic fitting and prediction of polynomial
                        regression with Kalman filter
fittestWavelet          Automatic prediction with wavelet transform
ipeadata_d              The Ipea Most Requested Dataset (daily)
ipeadata_m              The Ipea Most Requested Dataset (monthly)
marimapar               Get parameters of multiple ARIMA models.
marimapred              Multiple time series automatic ARIMA fitting
                        and prediction
mas                     Moving average smoothing
minmax                  Minmax Data Normalization
modeling                Time series modeling and prediction
outliers_bp             Outlier removal from sliding windows of data
pct                     Percentage Change Transformation
plotarimapred           Plot ARIMA predictions against actual values
postprocess.tspred      Postprocess method for 'tspred' objects
predict                 Predict method for 'modeling' objects
predict.tspred          Predict method for 'tspred' objects
preprocess              Preprocessing/Postprocessing time series data
preprocess.tspred       Preprocess method for 'tspred' objects
processing              Time series data processing
sMAPE                   sMAPE error of prediction
subset                  Subsetting data into training and testing sets
sw                      Generating sliding windows of data
train                   Training a time series model
train.tspred            Train method for 'tspred' objects
train_test_subset       Get training and testing subsets of data
tspred                  Time series prediction process
workflow                Executing a time series prediction process
