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spinBayes
View on CRAN: Click
here
Download and install spinBayes package within the R console
Install from CRAN:
install.packages("spinBayes")
Install from Github:
library("remotes")
install_github("cran/spinBayes")
Install by package version:
library("remotes")
install_version("spinBayes", "0.2.2")
Attach the package and use:
library("spinBayes")
Maintained by
Jie Ren
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.spinBayes . https://github.com/jrhub/spinBayes/issues . https://github.com/jrhub/spinBayes . spinBayes results . spinBayes.pdf . spinBayes_0.2.2.tar.gz . spinBayes_0.2.2.zip . spinBayes_0.2.2.zip . spinBayes_0.2.2.zip . spinBayes_0.2.2.tgz . spinBayes_0.2.2.tgz . spinBayes_0.2.2.tgz . spinBayes_0.2.2.tgz . spinBayes_0.2.2.tgz . spinBayes_0.2.2.tgz . spinBayes archive . https://CRAN.R-project.org/package=spinBayes .
First Published: 2019-06-06
Latest Update: 2024-02-23
Description:
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 areefficiently implemented in C++.
How to cite:
Jie Ren (2019). spinBayes: Semi-Parametric Gene-Environment Interaction via Bayesian Variable Selection. R package version 0.2.2, https://cran.r-project.org/web/packages/spinBayes. Accessed 11 Apr. 2025.
Previous versions and publish date:
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Complete documentation for spinBayes
Functions, R codes and Examples using
the spinBayes R package
Some associated functions: BVCfit . BVSelection . data . predict.BVCfit . print.BVCfit . print.BVCfit.pred . print.BVSelection . spinBayes-package .
Some associated R codes: BLasso.R . BVC.R . BVCFit.R . BVC_NS.R . BVSelection.R . RcppExports.R . Utilities.R . data.R . predict.BVCfit.R . print.BVCfit.R . spinBayes-package.R . Full spinBayes package functions and examples
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