ts_trend_season

ts_ts

Estimate a trend and season model from a <code>ts_data</code> object.

The main aim is to further facilitate the creation of exercises based on the package 'exams'
by Grün, B., and Zeileis, A. (2009) <doi:10.18637/jss.v029.i10>. Creating effective student exercises
involves challenges such as creating appropriate data sets and ensuring access to intermediate values
for accurate explanation of solutions. The functionality includes the generation of univariate and
bivariate data including simple time series, functions for theoretical distributions and their approximation,
statistical and mathematical calculations for tasks in basic statistics courses as well as general tasks
such as string manipulation, LaTeX/HTML formatting and the editing of XML task files for 'Moodle'.

Sigbert Klinke

exams.forge

Support for Compiling Examination Tasks using the 'exams'
Package

ts_trend_season function

<dl><dt>ts</dt>
<dd><code>ts_data</code> object</dd>
<dt>trend</dt>
<dd>numeric or logical: if <code>trend</code> is TRUE then a linear trend will be estimated, otherwise an exponential trend. If <code>trend</code> is numeric this is considered as trend value</dd>
<dt>season</dt>
<dd>numeric or logical</dd></dl>

Arguments

Trend and Season Model — ts_trend_season

<dl>

<dt>ts</dt>
<dd><code>ts_data</code> object</dd>


<dt>trend</dt>
<dd>numeric or logical: if <code>trend</code> is TRUE then a linear trend will be estimated, otherwise an exponential trend. If <code>trend</code> is numeric this is considered as trend value</dd>


<dt>season</dt>
<dd>numeric or logical</dd>

</dl>

ts_trend_season: Trend and Season Model

Description

Usage

Value

Arguments

Examples