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

Package details

AuthorXue Li
MaintainerXue Li <>
Package repositoryView on CRAN
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BiG documentation built on Nov. 17, 2017, 4:48 a.m.