This function calculates global, regional, and marginal Bayes Factors that give the strength of evidence of there being an association in the overall set of variants of interest, the individual genes of interest (if specified) and the individual variants of interest.
1 2 |
object |
an object of class 'bvs' |
burnin |
number of burn-in interations. Automatically set to zero if 'enumerate' method used. |
prior_cov |
matrix of predictor-level prior covariates (required only if used in original model fit) |
... |
additional arguments as required by summary S3 object |
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