Package: marble 0.0.3
Xi Lu
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_0.0.3.tgz(r-4.6-x86_64)marble_0.0.3.tgz(r-4.6-arm64)marble_0.0.3.tgz(r-4.5-x86_64)marble_0.0.3.tgz(r-4.5-arm64)
marble_0.0.3.tar.gz(r-4.7-arm64)marble_0.0.3.tar.gz(r-4.7-x86_64)marble_0.0.3.tar.gz(r-4.6-arm64)marble_0.0.3.tar.gz(r-4.6-x86_64)
marble_0.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:aab16def69. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 144 | ||
| linux-devel-x86_64 | OK | 130 | ||
| source / vignettes | OK | 152 | ||
| linux-release-arm64 | OK | 142 | ||
| linux-release-x86_64 | OK | 131 | ||
| macos-release-arm64 | OK | 160 | ||
| macos-release-x86_64 | OK | 345 | ||
| macos-oldrel-arm64 | OK | 192 | ||
| macos-oldrel-x86_64 | OK | 264 | ||
| windows-devel | OK | 174 | ||
| windows-release | OK | 134 | ||
| windows-oldrel | OK | 169 | ||
| wasm-release | OK | 116 |
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 G×E interactions. | marble |
| print a GxESelection object | print.GxESelection |
| print a marble object | print.marble |