Fit mvSuSiE on individual-level (X, Y) data

Wrapper around mvsusieR::mvsusie with the canonical argument set used inside fine-mapping and TWAS-weight pipelines.

Usage

fitMvsusie(X, Y, prior_variance, coverage = 0.95, ...)

Arguments

X

Numeric matrix of genotypes (samples x variants).

Y

Numeric matrix of multi-trait / multi-context outcomes (samples x conditions).

prior_variance

Prior variance matrix; pass the output of mvsusieR::create_mixture_prior(R = ncol(Y)) unless you have a domain-specific prior.

coverage

Credible set coverage (default 0.95).

...

Additional arguments forwarded to mvsusieR::mvsusie.

Value

The fit object returned by mvsusieR::mvsusie.