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) doi:10.48550/arXiv.2110.10195.
- Version1.0.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Ye, Senftle, and Li (2023)
- Last release11/14/2023
Documentation
Team
Shengbin Ye
Meng Li
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Last 30 days
This package has been downloaded 154 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 2,097 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 21, 2024 with 69 downloads.
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Dependencies
- Imports3 packages
- Suggests4 packages