Bioconductor version: Release (3.14)
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 (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("iterativeBMAsurv")
For older versions of R, please refer to the appropriate Bioconductor release.
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 | 1.52.0 |
In Bioconductor since | BioC 2.3 (R-2.8) (13.5 years) |
License | GPL (>= 2) |
Depends | BMA, leaps, survival, splines |
Imports | graphics, grDevices, stats, survival, utils |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://expression.washington.edu/ibmasurv/protected |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | iterativeBMAsurv_1.52.0.tar.gz |
Windows Binary | iterativeBMAsurv_1.52.0.zip |
macOS 10.13 (High Sierra) | iterativeBMAsurv_1.52.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/iterativeBMAsurv |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/iterativeBMAsurv |
Package Short Url | https://bioconductor.org/packages/iterativeBMAsurv/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.14 | Source Archive |
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