iterativeBMA
The Iterative Bayesian Model Averaging (BMA) algorithm
The iterative Bayesian Model Averaging (BMA) algorithm is
a variable selection and classification algorithm with an
application of classifying 2-class microarray samples, as
described in Yeung, Bumgarner and Raftery (Bioinformatics 2005,
21: 2394-2402).
| Author |
Ka Yee Yeung, University of Washington, Seattle, WA, with
contributions from Adrian Raftery and Ian Painter |
| Maintainer |
Ka Yee Yeung |
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("iterativeBMA")
Vignettes (Documentation)
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