diagnose_pAMCE

Diagnose modeling assumptions for the model-based approach

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

diagnose_pAMCE function

<dl><dt>x</dt>
<dd>An object of class "pAMCE", a result of a call to 'model_pAMCE'.</dd>
<dt>factor_name</dt>
<dd>A factor for which the function diagnoses modeling assumptions.</dd></dl>

Arguments

Diagnose modeling assumptions for the model-based approach — diagnose_pAMCE

<dl>

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


<dt>factor_name</dt>
<dd>A factor for which the function diagnoses modeling assumptions.</dd>

</dl>

diagnose_pAMCE: Diagnose modeling assumptions for the model-based approach

Description

Usage

Value

Arguments