get_cs_correlation  R Documentation 
This function evaluates the correlation between single effect CSs. It is not part of the SuSiE inference. Rather, it is designed as a diagnostic tool to assess how correlated the reported CS are.
get_cs_correlation(model, X = NULL, Xcorr = NULL, max = FALSE)
model 
A SuSiE fit, typically an output from

X 
n by p matrix of values of the p variables (covariates) in
n samples. When provided, correlation between variables will be
computed and used to remove CSs whose minimum correlation among
variables is smaller than 
Xcorr 
p by p matrix of correlations between variables
(covariates). When provided, it will be used to remove CSs whose
minimum correlation among variables is smaller than

max 
When 
A matrix of correlations between CSs, or the maximum
absolute correlation when max = TRUE
.
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