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.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.15.0) |
| Imports: | truncnorm |
| Published: | 2017-10-16 |
| Author: | Xue Li |
| Maintainer: | Xue Li <xuel at smu.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | BiG results |
| Reference manual: | BiG.pdf |
| Package source: | BiG_0.1.0.tar.gz |
| Windows binaries: | r-devel: BiG_0.1.0.zip, r-release: BiG_0.1.0.zip, r-oldrel: BiG_0.1.0.zip |
| OS X binaries: | r-release: BiG_0.1.0.tgz, r-oldrel: BiG_0.1.0.tgz |
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