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iBART: Iterative Bayesian Additive Regression Trees Descriptor Selection Method
A statistical method based on Bayesian Additive Regression Trees with Global Standard Error Permutation Test (BART-G.SE) for descriptor selection and symbolic regression. It finds the symbolic formula of the regression function y=f(x) as described in Ye, Senftle, and Li (2023) <arXiv:2110.10195>.
Getting started
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Package details |
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| Author | Shengbin Ye [aut, cre, cph] (<https://orcid.org/0000-0001-8767-2595>), Meng Li [aut] |
| Maintainer | Shengbin Ye <sy53@rice.edu> |
| License | GPL (>= 3) |
| Version | 1.0.0 |
| URL | https://github.com/mattsheng/iBART |
| Package repository | View on CRAN |
| Installation |
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