A helper function for several functions in the glance generic. Methods
such as logLik, AIC, and BIC are defined for many prediction
objects, such as lm, glm, and nls. This is a helper function that adds
them to a glance data.frame can be performed. If any of them cannot be
computed, it fails quietly.

finish_glance(ret, x)

## Arguments

ret |
a one-row data frame (a partially complete glance) |

x |
the prediction model |

## Value

a one-row data frame with additional columns added, such as

logLiklog likelihoods

AICAkaike Information Criterion

BICBayesian Information Criterion

deviancedeviance

df.residualresidual degrees of freedom

Each of these are produced by the corresponding generics

## Details

In one special case, deviance for objects of the
`lmerMod`

class from lme4 is computed with
`deviance(x, REML=FALSE)`

.