Package: iBART
Title: Iterative Bayesian Additive Regression Trees Descriptor
        Selection Method
Version: 1.0.0
Authors@R: c(person("Shengbin", "Ye", role = c("aut", "cre", "cph"), email = "sy53@rice.edu", comment = c(ORCID = "0000-0001-8767-2595")),
             person("Meng", "Li", role = "aut", email = "meng@rice.edu"))
Maintainer: Shengbin Ye <sy53@rice.edu>
Description: 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>.
URL: https://github.com/mattsheng/iBART
BugReports: https://github.com/mattsheng/iBART/issues
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.2.3
Depends: R (>= 4.0.0)
Imports: bartMachine (>= 1.2.6), glmnet (>= 4.1-1), foreach, stats
Suggests: knitr, rmarkdown, ggplot2, ggpubr
SystemRequirements: Java (>= 8.0)
NeedsCompilation: no
Packaged: 2023-11-14 03:18:59 UTC; matts
Author: Shengbin Ye [aut, cre, cph] (<https://orcid.org/0000-0001-8767-2595>),
  Meng Li [aut]
Repository: CRAN
Date/Publication: 2023-11-14 17:40:02 UTC
Built: R 4.4.3; ; 2025-10-21 13:24:32 UTC; windows
