finish_glance: Add logLik, AIC, BIC, and other common measurements to a glance of
a prediction
Description
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.
Usage
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
logLik
log likelihoods
AIC
Akaike Information Criterion
BIC
Bayesian Information Criterion
deviance
deviance
df.residual
residual 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).