seasonal_dummies

Creates a matrix of seasonal dummies.

A suite of auxiliary functions that enhance time series estimation and forecasting, including a robust anomaly detection routine based on Chen and Liu (1993) <doi:10.2307/2290724> (imported and wrapped from the 'tsoutliers' package), utilities for managing calendar and time conversions, performance metrics to assess both point forecasts and distributional predictions, advanced simulation by allowing the generation of time series components—such as trend, seasonal, ARMA, irregular, and anomalies—in a modular fashion based on the innovations form of the state space model and a number of transformation methods including Box-Cox, Logit, 'Softplus-Logit' and Sigmoid.

Alexios Ghalanos

tsaux

Time Series Forecasting Auxiliary Functions

Alexios Galanos

seasonal_dummies function

<dl><dt>y</dt>
<dd>optional data series.</dd>
<dt>n</dt>
<dd>if y is missing, then the length of the series is required.</dd>
<dt>seasons</dt>
<dd>number of seasons in a cycle.</dd></dl>

Arguments

Author

Seasonal Dummies — seasonal_dummies

<dl>

<dt>y</dt>
<dd>optional data series.</dd>


<dt>n</dt>
<dd>if y is missing, then the length of the series is required.</dd>


<dt>seasons</dt>
<dd>number of seasons in a cycle.</dd>

</dl>

seasonal_dummies: Seasonal Dummies

Description

Usage

Value

Arguments

Author

Details

Examples