cjbart

cranv0.3.2

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, identifying, and visualizing the heterogeneity within margi

License Apache License (>= 2.0)0 versions1 maintainers7 deps95 weekly dl
tsrobinson/cjbart
33
/ 100
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  • Low health score (33/100)
Health breakdown0 – 100
0/25
maintenance
0/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2023-09-06 17:57:23

Last updated · 2023-09-06T15:10:08+00:00

cjbart — Health Score 33/100 | DepScope