glance.oomlm: Returns a tibble with exactly one row of goodness of fitness...

In blakeboswell/yotta: Out-of-memory and memory efficient Linear Model fitting with support for Inference

Description

Returns a tibble with exactly one row of goodness of fitness measures and related statistics.

Usage

## S3 method for class 'oomlm'
glance(x, ...)

## S3 method for class 'summary.oomlm'
glance(x, ...)

## S3 method for class 'oomglm'
glance(x, ...)

Arguments

x	oomlm model object
...	ignored.

Value

A one-row tibble with columns:

r.squared	The percent of variance explained by the model
adj.r.squared	r.squared adjusted based on the degrees of freedom
sigma	The square root of the estimated residual variance
statistic	F-statistic
p.value	p-value from the F test, describing whether the full regression is significant
df	Degrees of freedom used by the coefficients
logLik	the data's log-likelihood under the model
AIC	the Akaike Information Criterion
BIC	the Bayesian Information Criterion
deviance	deviance
df.residual	residual degrees of freedom

See Also

glance()

blakeboswell/yotta documentation built on May 30, 2019, 11:43 a.m.