Simulates, fits, and predicts long-memory and anti-persistent
time series, possibly mixed with ARMA, regression, transfer-function
components.
Exact methods (MLE, forecasting, simulation) are used.
Bug reports should be done via GitHub (at
<https://github.com/JQVeenstra/arfima>), where the development version
of this package lives; it can be installed using devtools.

Fractional ARIMA (and Other Long Memory) Time Series Modeling

package-ubuntu-20.04-r-4.0.5#cran#arfima-1.7-0

<p>Prints the output of a call to <code>tacvf</code> on an <code>arfima</code> object
</p>

## S3 method for class 'tacvf'
print(x, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>The <code>tacvf</code> object.</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>Optional arguments.  See <code><a href="../../base/html/print.html">print</a></code>.</p>
</td>
</tr>
</table>

<p><code><a href="tacvf.html">tacvf</a></code>, <code><a href="plot.tacvf.html">plot.tacvf</a></code>
</p>

package-ubuntu-20.04-r-4.0.5#cran#arfima-1.7-0#docs#print.tacvf

`x`	The `tacvf` object.
`...`	Optional arguments. See `print`.

print.tacvf

Description

Usage

Arguments

Value

Author(s)

See Also

arfima

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