plot.knnForecastRO

It uses a test set generated with the function <code>rolling_origin</code>
and plots its forecast.

Allows forecasting time series using nearest neighbors regression
Francisco Martinez, Maria P. Frias, Maria D. Perez-Godoy and Antonio J.
Rivera (2019) <doi:10.1007/s10462-017-9593-z>. When the forecasting horizon
is higher than 1, two multi-step ahead forecasting strategies can be used.
The model built is autoregressive, that is, it is only based on the
observations of the time series. The nearest neighbors used in a prediction
can be consulted and plotted.

Francisco Martinez

tsfknn

Time Series Forecasting Using Nearest Neighbors

plot.knnForecastRO function

<dl><dt>x</dt>
<dd>the object obtained from a call to <code>rolling_origin</code>.</dd>
<dt>h</dt>
<dd>an integer. The forecasting horizon. If <code>NULL</code>, the maximum
forecasting horizon of all the test sets is used.</dd>
<dt>...</dt>
<dd>Other plotting parameters to affect the plot.</dd></dl>

Arguments

Plot a prediction of a test set — plot.knnForecastRO

<dl>

<dt>x</dt>
<dd>the object obtained from a call to <code>rolling_origin</code>.</dd>


<dt>h</dt>
<dd>an integer. The forecasting horizon. If <code>NULL</code>, the maximum
forecasting horizon of all the test sets is used.</dd>


<dt>...</dt>
<dd>Other plotting parameters to affect the plot.</dd>

</dl>

plot.knnForecastRO: Plot a prediction of a test set

Description

Usage

Arguments