iterativeBMAsurv (original) (raw)
The Iterative Bayesian Model Averaging (BMA) Algorithm For Survival Analysis
The iterative Bayesian Model Averaging (BMA) algorithm for survival analysis is a variable selection method for applying survival analysis to microarray data.
| Author | Amalia Annest, University of Washington, Tacoma, WA Ka Yee Yeung, University of Washington, Seattle, WA |
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| Maintainer | Ka Yee Yeung |
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("iterativeBMAsurv")| Documentation | Package Downloads |
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| The Iterative Bayesian Model Averaging Algorithm For Survival Analysis Reference Manual | Package source iterativeBMAsurv_1.0.0.tar.gz Windows binary iterativeBMAsurv_1.0.0.zip MacOS X 10.4 (Tiger) binary [iterativeBMAsurv_1.0.0.tgz](../ bin/macosx/universal/contrib/2.8/iterativeBMAsurv%5F1.0.0.tgz) MacOS X 10.5 (Leopard) binary [iterativeBMAsurv_1.0.0.tgz](../ bin/macosx/leopard/contrib/2.8/iterativeBMAsurv%5F1.0.0.tgz) Package Downloads Report Downloads Stats |
Details
| biocViews | Microarray , Statistics |
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| Depends | BMA , leaps , survival , splines |
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| License | GPL version 2 or higher |
| URL | http://expression.washington.edu/ibmasurv/protected |
| Depends On Me | |
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| Development History | Bioconductor Changelog |