Convert a GlmBayesMfp object into a data frame

```
# S3 method for GlmBayesMfp
as.data.frame(x, row.names = NULL, ..., freq = FALSE)
```

x

valid `GlmBayesMfp`

object

row.names

optional rownames (default is to keep the names of the
`GlmBayesMfp`

list)

…

unused

freq

should empirical frequencies of the models in the sampling path be given? (not default)

The data frame with the following columns:

- posterior
the posterior model probabilities

- logMargLik
the log marginal likelihood of the models

- logPrior
the log prior probabilities of the models

Additionally, for each uncertain fixed form covariates a column with the inclusion status, and for each fractional polynomial a column with the powers are returned.