plot_decompose

Provides design-based and model-based estimators for the population average marginal component effects in general factorial experiments, including conjoint analysis. The package also implements a series of recommendations offered in de la Cuesta, Egami, and Imai (2022) <doi:10.1017/pan.2020.40>, and Egami and Imai (2019) <doi:10.1080/01621459.2018.1476246>.

Naoki Egami

factorEx

Design and Analysis for Factorial Experiments

Brandon de la Cuesta

Kosuke Imai

plot_decompose function

<dl><dt>x</dt>
<dd>An object of class "pAMCE", a result of a call to 'model_pAMCE'.</dd>
<dt>effect_name</dt>
<dd>Effect for which the function decomposes the difference in the pAMCEs. The first element should be a factor name and the second element should be a level name.</dd>
<dt>target_diff</dt>
<dd>Two target profile distributions for which the function compares the pAMCEs. If missing, the function comapres the first target profile distribution and the in-sample profile distribution.</dd>
<dt>mar</dt>
<dd>Space on the left side of the plot. Default is 12.</dd></dl>

Arguments

Plot decomposition of the difference between pAMCEs — plot_decompose

<dl>

<dt>x</dt>
<dd>An object of class "pAMCE", a result of a call to 'model_pAMCE'.</dd>


<dt>effect_name</dt>
<dd>Effect for which the function decomposes the difference in the pAMCEs. The first element should be a factor name and the second element should be a level name.</dd>


<dt>target_diff</dt>
<dd>Two target profile distributions for which the function compares the pAMCEs. If missing, the function comapres the first target profile distribution and the in-sample profile distribution.</dd>


<dt>mar</dt>
<dd>Space on the left side of the plot. Default is 12.</dd>

</dl>

plot_decompose: Plot decomposition of the difference between pAMCEs

Description

Usage

Value

Arguments