as.data.frame.GlmBayesMfp: Convert a GlmBayesMfp object into a data frame

In glmBfp: Bayesian Fractional Polynomials for GLMs

Description

Convert a GlmBayesMfp object into a data frame

Usage

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

Arguments

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)

Value

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.

Author(s)

Daniel Sabanes Bove [e-mail]

See Also

glmBayesMfp

glmBfp documentation built on July 2, 2020, 2:30 a.m.