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")
| The Iterative Bayesian Model Averaging Algorithm For Survival Analysis | R Script | |
|---|---|---|
| Reference Manual |
| biocViews | |
|---|---|
| Depends |
BMA
,
leaps
,
survival
,
splines
|
| Imports | |
| Suggests | |
| System Requirements | |
| License | GPL (>= 2) |
| URL | http://expression.washington.edu/ibmasurv/protected |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
| Package source | iterativeBMAsurv_1.6.0.tar.gz |
|---|---|
| Windows 32-bit binary | iterativeBMAsurv_1.6.0.zip |
| Windows 64-bit binary | iterativeBMAsurv_1.6.0.zip |
| MacOS X 10.5 (Leopard) binary | iterativeBMAsurv_1.6.0.tgz |
| Package Downloads Report | Downloads Stats |