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iBART  

Iterative Bayesian Additive Regression Trees Descriptor Selection Method
View on CRAN: Click here


Download and install iBART package within the R console
Install from CRAN:
install.packages("iBART")

Install from Github:
library("remotes")
install_github("cran/iBART")

Install by package version:
library("remotes")
install_version("iBART", "1.0.0")



Attach the package and use:
library("iBART")
Maintained by
Shengbin Ye
[Scholar Profile | Author Map]
First Published: 2023-11-14
Latest Update: 2023-11-14
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) .
How to cite:
Shengbin Ye (2023). iBART: Iterative Bayesian Additive Regression Trees Descriptor Selection Method. R package version 1.0.0, https://cran.r-project.org/web/packages/iBART. Accessed 04 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited iBART R package
View iBART citation profile
Other R packages that iBART depends, imports, suggests or enhances
Complete documentation for iBART
Functions, R codes and Examples using the iBART R package
Some associated functions: catalysis . generate_unit . iBART . iBART_real_data . iBART_sim . k_var_model . 
Some associated R codes: BART_iter.R . LASSO.R . L_zero_regression.R . data.R . descriptorGenerator.R . generate_unit.R . iBART.R . operations.R . utilis.R .  Full iBART package functions and examples
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