cjbart: 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) <doi:10.1214/09-AOAS285>. This tool focuses specifically on estimating and visualizing the heterogeneity within marginal component effects, at the observation- and individual-level.

Package details

AuthorThomas Robinson [aut, cre, cph] (<https://orcid.org/0000-0001-7097-1599>), Raymond Duch [aut, cph] (<https://orcid.org/0000-0002-1166-7674>)
MaintainerThomas Robinson <ts.robinson1994@gmail.com>
LicenseApache License (>= 2.0)
URL https://github.com/tsrobinson/cjbart
Package repositoryView on CRAN
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cjbart documentation built on May 25, 2021, 5:10 p.m.