To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("iterativeBMAsurv")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.14
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 <kayee at u.washington.edu>
Citation (from within R,
enter citation("iterativeBMAsurv")):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("iterativeBMAsurv")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("iterativeBMAsurv")
| R Script | The Iterative Bayesian Model Averaging Algorithm For Survival Analysis | |
| Reference Manual |
| biocViews | Microarray, Software |
| Version | 1.22.0 |
| In Bioconductor since | BioC 2.3 (R-2.8) |
| License | GPL (>= 2) |
| Depends | BMA, leaps, survival, splines |
| Imports | graphics, grDevices, stats, survival, utils |
| Suggests | |
| System Requirements | |
| URL | http://expression.washington.edu/ibmasurv/protected |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Follow Installation instructions to use this package in your R session.
| Package Source | iterativeBMAsurv_1.22.0.tar.gz |
| Windows Binary | iterativeBMAsurv_1.22.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | iterativeBMAsurv_1.22.0.tgz |
| Mac OS X 10.9 (Mavericks) | iterativeBMAsurv_1.22.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
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