spinBayes
Semi-Parametric Gene-Environment Interaction via Bayesian Variable Selection
Many complex diseases are known to be affected by the interactions between genetic variants and environmental exposures beyond the main genetic and environmental effects. Existing Bayesian methods for gene-environment (G×E) interaction studies are challenged by the high-dimensional nature of the study and the complexity of environmental influences. We have developed a novel and powerful semi-parametric Bayesian variable selection method that can accommodate linear and nonlinear G×E interactions simultaneously (Ren et al. (2020) doi:10.1002/sim.8434). Furthermore, the proposed method can conduct structural identification by distinguishing nonlinear interactions from main effects only case within Bayesian framework. Spike-and-slab priors are incorporated on both individual and group level to shrink coefficients corresponding to irrelevant main and interaction effects to zero exactly. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently implemented in C++.
- Version0.2.2
- R versionR (≥ 4.0.0)
- LicenseGPL-2
- Needs compilation?Yes
- Last release02/10/2025
Documentation
Team
Jie Ren
MaintainerShow author detailsYu Jiang
Show author detailsRolesAuthorCen Wu
Show author detailsRolesAuthorXiaoxi Li
Show author detailsRolesAuthorFei Zhou
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 145 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,989 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Feb 11, 2025 with 39 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports3 packages
- Suggests2 packages
- Linking To3 packages