expo

A generic that is the basis for methods that allow the user to exponentiate 
certain results quickly.

Various methods for the identification of trend and seasonal
components in time series (TS) are provided. Among them is a data-driven locally
weighted regression approach with automatically selected bandwidth for
equidistant short-memory time series. The approach is a
combination / extension of the algorithms by
Feng (2013) <doi:10.1080/02664763.2012.740626> and Feng, Y., Gries, T.,
and Fritz, M. (2020) <doi:10.1080/10485252.2020.1759598> and a brief
description of this new method is provided in the package documentation.
Furthermore, the package allows its users to apply the base model of the
Berlin procedure, version 4.1, as described in Speth (2004) <https://www.destatis.de/DE/Methoden/Saisonbereinigung/BV41-methodenbericht-Heft3_2004.pdf?__blob=publicationFile>.
Permission to include this procedure was kindly provided by the Federal
Statistical Office of Germany.

Dominik Schulz

deseats

Data-Driven Locally Weighted Regression for Trend and
Seasonality in TS

Yuanhua Feng

expo function

<dl><dt>object</dt>
<dd>the input object.</dd>
<dt>...</dt>
<dd>currently of no use; included for future compatibility.</dd></dl>

Arguments

Automatic Creation of Animations — expo

<dl>

<dt>object</dt>
<dd>the input object.</dd>


<dt>...</dt>
<dd>currently of no use; included for future compatibility.</dd>

</dl>

expo: Automatic Creation of Animations

Description

Usage

Value

Arguments

Details