logLik.garma_model

The approximate likelihood for the model.

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

logLik.garma_model function

<dl><dt>object</dt>
<dd>The garma_model object</dd>
<dt>...</dt>
<dd>Other parameters. Ignored.</dd></dl>

Arguments

Log Likelihood — logLik.garma_model

<dl>

<dt>object</dt>
<dd>The garma_model object</dd>


<dt>...</dt>
<dd>Other parameters. Ignored.</dd>

</dl>

logLik.garma_model: Log Likelihood

Description

Usage

Value

Arguments