trend

Provides functions for modeling and forecasting time series data. Forecasting is based on the innovations algorithm. A description of the innovations algorithm can be found in the textbook "Introduction to Time Series and Forecasting" by Peter J. Brockwell and Richard A. Davis. <http://www.springer.com/us/book/9781475777505>.

George Weigt

itsmr

Time Series Analysis Using the Innovations Algorithm

trend function

<dl><dt>x</dt>
<dd>Time series data</dd><dt>p</dt>
<dd>Polynomial order (1 linear, 2 quadratic, etc.)</dd></dl>

Arguments

Estimate trend component — trend

<dl>

<dt>x</dt>
<dd>Time series data</dd>

<dt>p</dt>
<dd>Polynomial order (1 linear, 2 quadratic, etc.)</dd>

</dl>

trend: Estimate trend component

Description

Usage

Value

Arguments

See Also

Examples