mixture_modelspec

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

mixture_modelspec function

<dl><dt>...</dt>
<dd>either a list of valid simulation objects or individual objects
passed to the function</dd></dl>

Arguments

Ensemble Setup — mixture_modelspec

<dl>

<dt>...</dt>
<dd>either a list of valid simulation objects or individual objects
passed to the function</dd>

</dl>

mixture_modelspec: Ensemble Setup

Description

Usage

Value

Arguments

Details