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BiG: Bayesian Aggregation in Genomic Applications
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.
Getting started
Browse package contents
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 |
Install the latest version of this package by entering the following in R:
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