ws_shrinkage: This function computes an alternative to the Bayesian...
In ollyburren/cupcake: PCA for GWAS
Description
Usage
Arguments
Value
Description
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
Usage
1
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
ollyburren/cupcake documentation built on July 30, 2020, 9:58 a.m.
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Description Usage Arguments Value
Description
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
Usage
1 | 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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