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An implementation of Bayesian Aggregation in Genomic Applications (BiG), where BiG is a Bayesian latent variable approach to aggregation of partial and top ranked lists (Li et. al in preparation). It provides implementations for three different prior setups for variance/standard deviation parameters: diffuse inverse gamma (IG), diffuse uniform, half-t.
Package details |
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Author | Xue Li |
Maintainer | Xue Li <xuel@smu.edu> |
License | GPL-3 |
Version | 0.1.0 |
Package repository | View on CRAN |
Installation |
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