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Glance at an rspde_lme object

Source: R/rspde_lme.R
glance.rspde_lme.Rd

Glance accepts a rspde_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 'rspde_lme'
glance(x, ...)

Arguments

x

An rspde_lme object.

...

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.rspde_lme