model_theta

Creates the ts.model's theta vector

internal

A system contains easy-to-use tools as a support for time series analysis courses. In particular, it incorporates a technique called Generalized Method of Wavelet Moments (GMWM) as well as its robust implementation for fast and robust parameter estimation of time series models which is described, for example, in Guerrier et al. (2013) <doi: 10.1080/01621459.2013.799920>. More details can also be found in the paper linked to via the URL below.

St<c3><a9>phane Guerrier

simts

Time Series Analysis Tools

Stéphane Guerrier

James Balamuta

Roberto Molinari

Justin Lee

Lionel Voirol

Yuming Zhang

Wenchao Yang

Nathanael Claussen

Yunxiang Zhang

Christian Gunning

Romain Francois

Ross Ihaka

R Core Team 

model_theta function

<dl><dt>desc</dt>
<dd>A <code>vector&lt;string&gt;</code> that contains a list of the strings of each process.</dd></dl>

Arguments

Generate the ts model object's theta vector — model_theta

<dl>

<dt>desc</dt>
<dd>A <code>vector&lt;string&gt;</code> that contains a list of the strings of each process.</dd>

</dl>

Generate the ts model object's theta vector

model_theta: Generate the ts model object's theta vector

Description

Usage

Value

Arguments

Details