Marketing - MaxDiff - Ensemble

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Create an ensemble of MaxDiff models by averaging the respondent parameters. The output may either be a table comparing the underlying models and the ensemble, or histograms of respondent parameters of the ensemble. In either case, MaxDiff functions to save variables (e.g. Individual-level Coefficients) may be applied to the ensemble.

See this blog post for an example of creating a ensemble.

Example

Comparison table

Histograms of ensemble parameters

Options

Input models At least 2 MaxDiff models.

Ensemble Whether to create an ensemble by taking the average of the respondent parameters across the models.

Output

Comparison A table comparing metrics from models (and the ensemble, if selected).
Ensemble Histograms of respondent parameters, as per the underlying MaxDiff outputs.

Code

var controls = [];
var modelsInput = form.dropBox({label: "Input models", types:["RItem:FitMaxDiff"], name: "formModels",
                               multi: true, required: true, min_inputs: 2,
                               prompt: "Select at least 2 MaxDiff models."});
controls.push(modelsInput);

var ensemble = form.checkBox({label: "Ensemble", name: "formEnsemble", default_value: true,
                              prompt: "Whether to create an ensemble of the models."});
controls.push(ensemble);

if (ensemble.getValue()) {
    var output = form.comboBox({label: "Output", 
              alternatives: ["Comparison", "Ensemble"], name: "formOutput", default_value: "Comparison",
              prompt: "A table comparing the models, or histograms of ensemble respondent coefficients."});
    controls.push(output);
}
form.setInputControls(controls);

if (ensemble.getValue())
    form.setHeading('Ensemble of MaxDiff Models');
else
    form.setHeading('Compare MaxDiff Models');
library(flipMaxDiff)
ensemble <- MaxDiffEnsemble(formModels,
                              !formEnsemble,
                              get0("formOutput", ifnotfound = "Comparison"))

Further reading: MaxDiff software