Convert a GlmBayesMfp object into a data frame
# S3 method for GlmBayesMfp
as.data.frame(x, row.names = NULL, ..., freq = FALSE)valid GlmBayesMfp object
optional rownames (default is to keep the names of the
GlmBayesMfp list)
should empirical frequencies of the models in the sampling path be given? (not default)
unused
The data frame with the following columns:
the posterior model probabilities
the log marginal likelihood of the models
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.