print.esemifar

This function regulates how objects created by the package <code>esemifar</code> are
printed.

The nonparametric trend and its derivatives in equidistant time
series (TS) with long-memory errors can be estimated. The
estimation is conducted via local polynomial regression using an
automatically selected bandwidth obtained by a built-in iterative plug-in
algorithm or a bandwidth fixed by the user.
The smoothing methods of the package are described in Letmathe, S., Beran,
J. and Feng, Y., (2023) <doi:10.1080/03610926.2023.2276049>.

Dominik Schulz

esemifar

Smoothing Long-Memory Time Series

Yuanhua Feng

Jan Beran

Sebastian Letmathe

print.esemifar function

<dl><dt>x</dt>
<dd>an input object of class <code>esemifar</code>.</dd>
<dt>...</dt>
<dd>included for compatibility; additional arguments will however
not affect the output.</dd></dl>

Arguments

<ul>
<li>Dominik Schulz (Scientific employee) (Department of Economics, Paderborn
University), </li>
</ul>

Author

Print Method for the Package 'esemifar' — print.esemifar

<dl>

<dt>x</dt>
<dd>an input object of class <code>esemifar</code>.</dd>


<dt>...</dt>
<dd>included for compatibility; additional arguments will however
not affect the output.</dd>

</dl>

<ul>
<li>Dominik Schulz (Scientific employee) (Department of Economics, Paderborn
University), </li>
</ul>

print.esemifar: Print Method for the Package 'esemifar'

Description

Usage

Value

Arguments

Author