This function computes an alternative to the Bayesian shrinkage method which can be too agressive. ws_shrinkage computes a shrinkage based on a weighted sum (ws) of posteriors for each disease this is then normalised by the total posterior for a given LD block

This function computes an alternative to the Bayesian shrinkage method which can be too agressive. ws_shrinkage computes a shrinkage based on a weighted sum (ws) of posteriors for each disease this is then normalised by the total posterior for a given LD block

ws_shrinkage(DT, pi_i = 1e-04)

Arguments

DT	basis data.table object
pi_i	- The prior probability that a variant is causal

Value

data.table object