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Carries out empirical Bayes variable selection via ICM/M algorithm. The basic problem is to fit highdimensional regression which most coefficients are assumed to be zero. This package allows incorporating the Ising prior to capture structure of predictors in the modeling process. The current version of this package can handle the normal, binary logistic, and Cox's regression (Pungpapong et. al. (2015) <doi:10.1214/15EJS1034>, Pungpapong et. al. (2017) <arXiv:1707.08298>).
Package details 


Author  Vitara Pungpapong [aut, cre], Min Zhang [aut], Dabao Zhang [aut] 
Maintainer  Vitara Pungpapong <[email protected]> 
License  GPL (>= 2) 
Version  1.1 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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