glance.graph_lme {MetricGraph}

Glance at a graph_lme object

Description

Glance accepts a graph_lme object and returns a tidyr::tibble() with exactly one row of model summaries. The summaries are the square root of the estimated variance of the measurement error, residual degrees of freedom, AIC, BIC, log-likelihood, the type of latent model used in the fit and the total number of observations.

Usage

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

Arguments

x

A graph_lme object.

...

Additional arguments. Currently not used.

Value

A tidyr::tibble() with exactly one row and columns:

• nobs Number of observations used.

• sigma the square root of the estimated residual variance

• logLik The log-likelihood of the model.

• AIC Akaike's Information Criterion for the model.

• BIC Bayesian Information Criterion for the model.

• deviance Deviance of the model.

• df.residual Residual degrees of freedom.

• model.type Type of latent model fitted.

See Also

augment.graph_lme