Package: bartcs 1.2.2
bartcs: Bayesian Additive Regression Trees for Confounder Selection
Fit Bayesian Regression Additive Trees (BART) models to select true confounders from a large set of potential confounders and to estimate average treatment effect. For more information, see Kim et al. (2023) <doi:10.1111/biom.13833>.
Authors:
bartcs_1.2.2.tar.gz
bartcs_1.2.2.tar.gz(r-4.5-noble)bartcs_1.2.2.tar.gz(r-4.4-noble)
bartcs_1.2.2.tgz(r-4.4-emscripten)bartcs_1.2.2.tgz(r-4.3-emscripten)
bartcs.pdf |bartcs.html✨
bartcs/json (API)
NEWS
# Install 'bartcs' in R: |
install.packages('bartcs', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yooyh/bartcs/issues
- ihdp - Infant Health and Development Program Data
Last updated 8 months agofrom:3c33038cc9. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 28 2024 |
R-4.5-linux-x86_64 | OK | Dec 28 2024 |
Exports:count_omp_threadseparate_bartsingle_bart
Dependencies:clicodacolorspacedplyrfansifarvergenericsggchartsggplot2gluegtableinvgammaisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmgcvmunsellnlmepatchworkpillarpkgconfigquantregR6RColorBrewerRcpprlangrootSolvescalesSparseMsurvivaltibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Fit BART models to select confounders and estimate treatment effect | bart separate_bart single_bart |
Count the number of OpenMP threads for parallel computation | count_omp_thread |
Infant Health and Development Program Data | ihdp |
Draw plot for 'bartcs' object | plot.bartcs |
Summary for 'bartcs' object | summary.bartcs |