cjbart
cranv0.3.2Heterogeneous 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, identifying, and visualizing the heterogeneity within margi
License Apache License (>= 2.0)0 versions1 maintainers7 deps95 weekly dl
tsrobinson/cjbart33
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curl https://depscope.dev/api/check/cran/cjbartFirst published · 2023-09-06 17:57:23
Last updated · 2023-09-06T15:10:08+00:00