BiG (0.1.0)

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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.

Maintainer: Xue Li
Author(s): Xue Li

License: GPL-3

Uses: truncnorm

Released about 2 years ago.



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