icmm-package: Empirical Bayes Variable Selection via ICM/M
In icmm: Empirical Bayes Variable Selection via ICM/M Algorithm
Description
Details
Author(s)
References
Description
Carries out empirical Bayes variable selection via ICM/M algorithm. The basic problem is to fit a high-dimensional regression which most of the 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.
Details
Package: icmm
Type: Package
Version: 1.2
Date: 2021-5-12
License: GPL-2
LazyLoad: yes
Author(s)
Vitara Pungpapong, Min Zhang, Dabao Zhang
Maintainer: Vitara Pungpapong <vitara@cbs.chula.ac.th>
References
Pungpapong, V., Zhang, M. and Zhang, D. (2015). Selecting massive variables using an iterated conditional modes/medians algorithm. Electronic Journal of Statistics. 9:1243-1266. <doi:10.1214/15-EJS1034>.
Pungpapong, V., Zhang, M. and Zhang, D. (2020). Integrating Biological Knowledge Into Case-Control Analysis Through Iterated Conditional Modes/Medians Algorithm. Journal of Computational Biology. 27(7): 1171-1179. <doi:10.1089/cmb.2019.0319>.
icmm documentation built on May 26, 2021, 9:06 a.m.
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Description Details Author(s) References
Description
Carries out empirical Bayes variable selection via ICM/M algorithm. The basic problem is to fit a high-dimensional regression which most of the 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.
Details
| Package: | icmm |
| Type: | Package |
| Version: | 1.2 |
| Date: | 2021-5-12 |
| License: | GPL-2 |
| LazyLoad: | yes |
Author(s)
Vitara Pungpapong, Min Zhang, Dabao Zhang
Maintainer: Vitara Pungpapong <vitara@cbs.chula.ac.th>
References
Pungpapong, V., Zhang, M. and Zhang, D. (2015). Selecting massive variables using an iterated conditional modes/medians algorithm. Electronic Journal of Statistics. 9:1243-1266. <doi:10.1214/15-EJS1034>.
Pungpapong, V., Zhang, M. and Zhang, D. (2020). Integrating Biological Knowledge Into Case-Control Analysis Through Iterated Conditional Modes/Medians Algorithm. Journal of Computational Biology. 27(7): 1171-1179. <doi:10.1089/cmb.2019.0319>.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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