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 147 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
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Last 365 days
This package has been downloaded 2,079 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 69 downloads.
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Dependencies
- Imports3 packages
- Suggests4 packages