Description Direct Superclass Direct Subclasses Private attributes Public methods
Represents models that need to be fitted before forecasting.
NVDModel
ARFIMAModel,
ARIMAModel,
BaggedETSModel,
ETSModel,
NNARModel,
StructTSModel,
TBATSModel,
TSLinearModel,
fit the attribute to store the fitted model's object (default NA)
getFitted() returns private attribute fit
setFitted(fit_result) sets fit_result
as the value of private attribute fit
setFittedFcasted(fit_function, test_randomness, fcast_function, ...) calls the fitting function, the forecasting function, performs residuals analysis and generates forecast intervals from bootstrapped residuals for ARIMA and ETS models when !super$isPiIgnored() & super$areResidualsNotNormal() & !super$areResidualsNotRandom()
executeUseModel(fit_function, fcast_function, fcast_period, ...) calls the fitting function, which uses the new training set (obtained by calling NVDModel's method getMergedTrainTestSet
), then calls the forecasting function which uses generating forecasting intervals from bootstrapped residuals when !super$isBootstrapNotUsed() = TRUE
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