Package: iBART 1.0.0

Shengbin Ye

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) <arxiv:2110.10195>.

Authors:Shengbin Ye [aut, cre, cph], Meng Li [aut]

iBART_1.0.0.tar.gz
iBART_1.0.0.tar.gz(r-4.5-noble)iBART_1.0.0.tar.gz(r-4.4-noble)
iBART_1.0.0.tgz(r-4.4-emscripten)iBART_1.0.0.tgz(r-4.3-emscripten)
iBART.pdf |iBART.html✨
iBART/json (API)
NEWS

# Install 'iBART' in R:
install.packages('iBART', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mattsheng/ibart/issues

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT
Datasets:

3.20 score 16 scripts 168 downloads 3 exports 19 dependencies

Last updated 12 months agofrom:fae81ec992. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 10 2024
R-4.5-linuxOKOct 10 2024

Exports:generate_unitiBARTk_var_model

Dependencies:bartMachinebartMachineJARscodetoolsdigestdoRNGforeachglmnetiteratorsitertoolslatticeMatrixmissForestrandomForestRcppRcppEigenrJavarngtoolsshapesurvival

Complex Model Simulation

Rendered fromsimulation.Rmdusingknitr::rmarkdownon Oct 10 2024.

Last update: 2023-11-15
Started: 2023-11-15

Single-Atom Catalysis Data Analysis

Rendered fromreal_data.Rmdusingknitr::rmarkdownon Oct 10 2024.

Last update: 2023-11-15
Started: 2023-11-15