broom (version 0.4.2)

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).