Heterogeneous Effects Analysis of Conjoint Experiments

A tool for analyzing conjoint experiments using Bayesian Additive Regression Trees ('BART'), a machine learning method developed by Chipman, George and McCulloch (2010) . This tool focuses specifically on estimating and visualizing the heterogeneity within marginal component effects, at the observation- and individual-level.


Reference manual

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0.1.0 by Thomas Robinson, 4 months ago


Report a bug at https://github.com/tsrobinson/cjbart/issues

Browse source code at https://github.com/cran/cjbart

Authors: Thomas Robinson [aut, cre, cph] , Raymond Duch [aut, cph]

Documentation:   PDF Manual  

Apache License (>= 2.0) license

Imports stats, rlang, tidyr, ggplot2

Depends on BART

Suggests testthat, knitr, cregg, rmarkdown

See at CRAN