getLogMargLik | R Documentation |
Extract log marginal likelihood from a model, saved as the first
element of a BayesMfp
object.
getLogMargLik(x, design=getDesignMatrix(x), nObs = nrow(design), dim = ncol(design))
x |
valid |
design |
(centered) design matrix |
nObs |
number of observations |
dim |
number of design matrix columns |
This function interfaces the C++ function logMargLik
, and can
be used to compute the marginal likelihood of a model not saved in the
model list. But be careful to adjust the saved R^2 of the model, too,
and not only the powers! Therefore this function is internal only...
and is used e.g. in transformMfp
.
Daniel Saban\'es Bov\'e
getLogPrior
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