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The variant x effect matrix of single-effect log Bayes factors (lbf_variable, or fSuSiE's lBF) from the stored fit: one row per variant, one lbf_L<k> column per effect. The per-variant scalar summary (max across effects) is the logBF column of getTopLoci; this accessor keeps the full per-effect breakdown. Across entries with different effect counts the collection method NA-fills the ragged columns.

Usage

getLbf(x, ...)

# S4 method for class 'FineMappingEntry'
getLbf(x, ...)

# S4 method for class 'FineMappingResultBase'
getLbf(x, ...)

Arguments

x

A FineMappingEntry or FineMappingResultBase.

...

Ignored.

Value

A data.frame: variant_id + lbf_L1..lbf_LL (the collection method also carries the entry identity columns).

See also

getTopLoci (the scalar logBF column)