getLogMargLik: Extract log marginal likelihood from a model.

In bfp: Bayesian Fractional Polynomials

Extract log marginal likelihood from a model.

Description

Extract log marginal likelihood from a model, saved as the first element of a BayesMfp object.

Usage

getLogMargLik(x, design=getDesignMatrix(x), nObs = nrow(design), dim = ncol(design))

Arguments

x	valid BayesMfp-Object of length 1 (otherwise only first element recognized)
design	(centered) design matrix
nObs	number of observations
dim	number of design matrix columns

Details

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.

Author(s)

Daniel Saban\'es Bov\'e

See Also

getLogPrior

bfp documentation built on March 30, 2025, 3 p.m.