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绮Yeung,华盛顿大学,Seattle, WA, with contributions from Adrian Raftery and Ian Painter |
| Maintainer |
Ka Yee Yeung |
To install this package, start R and enter:
source("//www.andersvercelli.com/biocLite.R") biocLite("iterativeBMA")
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