Last data update: 2014.03.03
|
iterativeBMAsurv
Package: iterativeBMAsurv
Type: Package
Title: The Iterative Bayesian Model Averaging (BMA) Algorithm For
Survival Analysis
Version: 1.30.0
Date: 2008-5-19
Author: Amalia Annest, University of Washington, Tacoma, WA Ka Yee
Yeung, University of Washington, Seattle, WA
Maintainer: Ka Yee Yeung <kayee@u.washington.edu>
Description: The iterative Bayesian Model Averaging (BMA) algorithm for
survival analysis is a variable selection method for applying
survival analysis to microarray data.
Depends: BMA, leaps, survival, splines
Imports: graphics, grDevices, stats, survival, utils
License: GPL (>= 2)
URL: http://expression.washington.edu/ibmasurv/protected
biocViews: Microarray
NeedsCompilation: no
Packaged: 2016-05-04 03:09:27 UTC; biocbuild
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'iterativeBMAsurv' ...
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'iterativeBMAsurv'
finding HTML links ... done
crossVal html
imageplot.iterate.bma.surv html
iterateBMAsurv.train html
iterateBMAsurv.train.predict.assess html
iterateBMAsurv.train.wrapper html
iterativeBMAsurv-internal html
iterativeBMAsurv-package html
predictBicSurv html
predictiveAssessCategory html
printTopGenes html
singleGeneCoxph html
testCens html
testData html
testSurv html
trainCens html
trainData html
trainSurv html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (iterativeBMAsurv)
Making 'packages.html' ... done
|