fitted.garma_forecast

Return the fitted values for a GARMA forecast.

Methods for estimating univariate long memory-seasonal/cyclical
Gegenbauer time series processes. See for example (2022) <doi:10.1007/s00362-022-01290-3>.
Refer to the vignette for details of fitting these processes.

Richard Hunt

garma

Fitting and Forecasting Gegenbauer ARMA Time Series Models

fitted.garma_forecast function

<dl><dt>object</dt>
<dd>(garma_model) A 'fit' object from the `garma()` function.</dd>
<dt>...</dt>
<dd>other parameters, which are ignored.</dd></dl>

Arguments

Return the fitted values for a GARMA forecast. — fitted.garma_forecast

<dl>

<dt>object</dt>
<dd>(garma_model) A 'fit' object from the `garma()` function.</dd>


<dt>...</dt>
<dd>other parameters, which are ignored.</dd>

</dl>

fitted.garma_forecast: Return the fitted values for a GARMA forecast.

Description

Usage

Arguments