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>.
Version: 1.0.0 Depends: R (≥ 4.0.0) Imports: bartMachine (≥ 1.2.6), glmnet (≥ 4.1-1), foreach, stats Suggests: knitr, rmarkdown, ggplot2, ggpubr Published: 2023-11-14 DOI: 10.32614/CRAN.package.iBART Author: Shengbin Ye [aut, cre, cph], Meng Li [aut] Maintainer: Shengbin Ye <sy53 at rice.edu> BugReports: https://github.com/mattsheng/iBART/issues License: GPL (≥ 3) URL: https://github.com/mattsheng/iBART NeedsCompilation: no SystemRequirements: Java (>= 8.0) Materials: README, NEWS CRAN checks: iBART results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=iBART to link to this page.
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