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 |
| 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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| biocViews | |
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| Depends |
BMA
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leaps
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survival
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splines
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| Suggests | |
| System Requirements | |
| License | GPL version 2 or higher |
| URL | http://expression.washington.edu/ibmasurv/protected |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Development History | Bioconductor Changelog |