mseastest

input time series. Can be <code>ts</code> object.

seasonal period. If <code>y</code> is a <code>ts</code> object then the default is its frequency.

type of correlation<ul>
<li><code>"pearson"</code></li>
<li><code>"spearman"</code></li>
<li><code>"kendall"</code></li>
</ul>

type

input precalculated level/trend for the analysis. Use <code>NULL</code> to calculate internally.

number of seasonal periods of decreasing magnitude to consider for the test.

alpha

type of output plot:<ul>
<li>0: none.</li>
<li>1: scatter plot.</li>
<li>2: time series plot.</li>
</ul>

outplot

correlation based multiplicative seasonality test.

internal

htest

Includes: (i) tests and visualisations that can help the modeller explore time series components and perform decomposition; (ii) modelling shortcuts, such as functions to construct lagmatrices and seasonal dummy variables of various forms; (iii) an implementation of the Theta method; (iv) tools to facilitate the design of the forecasting process, such as ABC-XYZ analyses; and (v) "quality of life" functions, such as treating time series for trailing and leading values.

mseastest: Multiplicative seasonality test

Description

Usage

Arguments

Value

Examples