tsSubsetWithIndices

Use provided indices to subset a time series. The provided indices must be contiguous

Convenient functions for ensemble forecasts in R combining
approaches from the 'forecast' package. Forecasts generated from auto.arima(), ets(),
thetaf(), nnetar(), stlm(), tbats(), snaive() and arfima() can be combined with equal weights, weights
based on in-sample errors (introduced by Bates & Granger (1969) <doi:10.1057/jors.1969.103>),
or cross-validated weights. Cross validation for time series data with user-supplied models
and forecasting functions is also supported to evaluate model accuracy.

David Shaub

forecastHybrid

Convenient Functions for Ensemble Time Series Forecasts

Peter Ellis

tsSubsetWithIndices function

<dl><dt>x</dt>
<dd>A time series object</dd>
<dt>indices</dt>
<dd>A contiguous vector of indices to use for subsetting</dd></dl>

Arguments

Author

Subset time series with provided indices — tsSubsetWithIndices

<dl>

<dt>x</dt>
<dd>A time series object</dd>


<dt>indices</dt>
<dd>A contiguous vector of indices to use for subsetting</dd>

</dl>

tsSubsetWithIndices: Subset time series with provided indices

Description

Usage

Value

Arguments

Author

Examples