transform_distribution

Contemporary software commonly used to design stated preference experiments are expensive and the code is closed source. This is a free software package with an easy to use interface to make flexible stated preference experimental designs using state-of-the-art methods. For an overview of stated choice experimental design theory, see e.g., Rose, J. M. & Bliemer, M. C. J. (2014) in Hess S. & Daly. A. <doi:10.4337/9781781003152>. The package website can be accessed at <https://spdesign.edsandorf.me>. We acknowledge funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant INSPiRE (Grant agreement ID: 793163).

Erlend Dancke Sandorf

spdesign

Designing Stated Preference Experiments

Danny Campbell

transform_distribution function

<dl><dt>mu</dt>
<dd>A value for the mean of the distribution</dd>
<dt>sigma</dt>
<dd>A value for the standard deviation of the distribution</dd>
<dt>eta</dt>
<dd>A numeric standard uniform vector</dd>
<dt>type</dt>
<dd>The type of distribution</dd></dl>

Arguments

Transform distribution — transform_distribution

<dl>

<dt>mu</dt>
<dd>A value for the mean of the distribution</dd>


<dt>sigma</dt>
<dd>A value for the standard deviation of the distribution</dd>


<dt>eta</dt>
<dd>A numeric standard uniform vector</dd>


<dt>type</dt>
<dd>The type of distribution</dd>

</dl>

transform_distribution: Transform distribution

Description

Usage

Value

Arguments