Bayesian Aggregation in Genomic Applications
Description
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.