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bartcs: Bayesian Additive Regression Trees for Confounder Selection
Fit Bayesian Regression Additive Trees (BART) models to select true confounders from a large set of potential confounders and to estimate average treatment effect. For more information, see Kim et al. (2023) <doi:10.1111/biom.13833>.
Getting started
Browse package contents
Package details |
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| Author | Yeonghoon Yoo [aut, cre] |
| Maintainer | Yeonghoon Yoo <yooyh.stat@gmail.com> |
| License | GPL (>= 3) |
| Version | 1.2.2 |
| URL | https://github.com/yooyh/bartcs |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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