logLik.ets
(Package: forecast) :
Log-Likelihood of an ets object
Returns the log-likelihood of the ets model represented by object evaluated at the estimated parameters.
● Data Source:
CranContrib
● Keywords: ts
● Alias: logLik.ets
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forecast.lm
(Package: forecast) :
Forecast a linear model with possible time series components
forecast.lm is used to predict linear models, especially those involving trend and seasonality components.
● Data Source:
CranContrib
● Keywords: stats
● Alias: forecast.lm
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ses
(Package: forecast) :
Exponential smoothing forecasts
Returns forecasts and other information for exponential smoothing forecasts applied to x.
● Data Source:
CranContrib
● Keywords: ts
● Alias: holt, hw, ses
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tbats.components
(Package: forecast) :
Extract components of a TBATS model
Extract the level, slope and seasonal components of a TBATS model.
● Data Source:
CranContrib
● Keywords: ts
● Alias: tbats.components
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fitted.Arima
(Package: forecast) :
One-step in-sample forecasts using ARIMA models
Returns one-step forecasts for the data used in fitting the ARIMA model.
● Data Source:
CranContrib
● Keywords: ts
● Alias: fitted.Arima
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accuracy
(Package: forecast) :
Accuracy measures for forecast model
Returns range of summary measures of the forecast accuracy. If x is provided, the function measures out-of-sample (test set) forecast accuracy based on x-f. If x is not provided, the function only produces in-sample (training set) accuracy measures of the forecasts based on f["x"]-fitted(f). All measures are defined and discussed in Hyndman and Koehler (2006).
● Data Source:
CranContrib
● Keywords: ts
● Alias: accuracy
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forecast.mlm
(Package: forecast) :
Forecast a multiple linear model with possible time series components
forecast.mlm is used to predict multiple linear models, especially those involving trend and seasonality components.
● Data Source:
CranContrib
● Keywords:
● Alias: forecast.mlm
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simulate.ets
(Package: forecast) :
Simulation from a time series model
Returns a time series based on the model object object.
● Data Source:
CranContrib
● Keywords: ts
● Alias: simulate.Arima, simulate.ar, simulate.ets, simulate.fracdiff
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Produces a ggplot object of decomposed components of a time series object
● Data Source:
CranContrib
● Keywords:
● Alias: autoplot.decomposed.ts
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nnetar
(Package: forecast) :
Neural Network Time Series Forecasts
Feed-forward neural networks with a single hidden layer and lagged inputs for forecasting univariate time series.
● Data Source:
CranContrib
● Keywords: ts
● Alias: forecast.nnetar, nnetar
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