Package: marble 0.0.3
marble: Robust Marginal Bayesian Variable Selection for Gene-Environment Interactions
Recently, multiple marginal variable selection methods have been developed and shown to be effective in Gene-Environment interactions studies. We propose a novel marginal Bayesian variable selection method for Gene-Environment interactions studies. In particular, our marginal Bayesian method is robust to data contamination and outliers in the outcome variables. With the incorporation of spike-and-slab priors, we have implemented the Gibbs sampler based on Markov Chain Monte Carlo. The core algorithms of the package have been developed in 'C++'.
Authors:
marble_0.0.3.tar.gz
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marble.pdf |marble.html✨
marble/json (API)
| # Install 'marble' in R: |
| install.packages('marble', repos = c('https://xilustat.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/xilustat/marble/issues
Last updated 5 months agofrom:aab16def69. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 21 2024 |
| R-4.5-win-x86_64 | OK | Aug 21 2024 |
| R-4.5-linux-x86_64 | OK | Aug 21 2024 |
| R-4.4-win-x86_64 | OK | Aug 21 2024 |
| R-4.4-mac-x86_64 | OK | Aug 21 2024 |
| R-4.4-mac-aarch64 | OK | Aug 21 2024 |
| R-4.3-win-x86_64 | OK | Aug 21 2024 |
| R-4.3-mac-x86_64 | OK | Aug 21 2024 |
| R-4.3-mac-aarch64 | OK | Aug 21 2024 |
Exports:GxESelectionmarble
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Robust Marginal Bayesian Variable Selection for Gene-Environment Interactions | marble-package |
| simulated data for demonstrating the features of marble. | clin dat E X Y |
| Variable selection for a marble object | GxESelection |
| fit a robust Bayesian variable selection model for GĂE interactions. | marble |
| print a GxESelection object | print.GxESelection |
| print a marble object | print.marble |
