plotSlide

Plot summarised results from slide

Comprehensive analysis and forecasting
of univariate time series using automatic
time series models of many kinds.
Harvey AC (1989) <doi:10.1017/CBO9781107049994>.
Pedregal DJ and Young PC (2002) <doi:10.1002/9780470996430>.
Durbin J and Koopman SJ (2012) <doi:10.1093/acprof:oso/9780199641178.001.0001>.
Hyndman RJ, Koehler AB, Ord JK, and Snyder RD (2008) <doi:10.1007/978-3-540-71918-2>.
Gómez V, Maravall A (2000) <doi:10.1002/9781118032978>.
Pedregal DJ, Trapero JR and Holgado E (2024) <doi:10.1016/j.ijforecast.2023.09.004>.

Diego J. Pedregal

UComp

Automatic Univariate Time Series Modelling of many Kinds

plotSlide function

<dl><dt>py1</dt>
<dd>output from slide function</dd>
<dt>y</dt>
<dd>a vector or matrix of time series (the same used in slide call)</dd>
<dt>orig</dt>
<dd>starting forecasting origin (the same used in slide call)</dd>
<dt>step</dt>
<dd>observations ahead to move the forecasting origin (the same used in slide call)</dd>
<dt>errorFun</dt>
<dd>user function to calculate error measures</dd>
<dt>collectFun</dt>
<dd>aggregation function (mean, median, etc.)</dd></dl>

Arguments

Author

plotSlide — plotSlide

<dl>

<dt>py1</dt>
<dd>output from slide function</dd>


<dt>y</dt>
<dd>a vector or matrix of time series (the same used in slide call)</dd>


<dt>orig</dt>
<dd>starting forecasting origin (the same used in slide call)</dd>


<dt>step</dt>
<dd>observations ahead to move the forecasting origin (the same used in slide call)</dd>


<dt>errorFun</dt>
<dd>user function to calculate error measures</dd>


<dt>collectFun</dt>
<dd>aggregation function (mean, median, etc.)</dd>

</dl>

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plotSlide: plotSlide

Description

Usage

Value

Arguments

Author

See Also

Examples