SpikeAndSlabPrior._label#

SpikeAndSlabPrior._label()[source]#

Short description for summary tables and comparison rows.

ssvs(spike=..., slab=..., p=...) with each value in %g format; deterministic_scale is not part of the selection and is omitted.

Return type:

str

Returns:

The label.

Example

>>> SpikeAndSlabPrior()._label()
'ssvs(spike=0.1, slab=10, p=0.5)'
>>> SpikeAndSlabPrior(spike=0.05, inclusion=0.2)._label()
'ssvs(spike=0.05, slab=10, p=0.2)'