summary.gremlin: Gremlin model summary.
In gremlin: Mixed-Effects REML Incorporating Generalized Inverses

Description Usage Arguments Value Author(s) See Also Examples

Summarize and print results of linear mixed model fitted with gremlin.

## S3 method for class 'gremlin'
summary(object, ...)

## S3 method for class 'summary.gremlin'
print(x, digits = max(3, getOption("digits") - 3), ...)

`object, x`	An object of `class` ‘gremlin’ or ‘summary.gremlin’.
`...`	Additional arguments to be passed to control the output.
`digits`	An `integer` used for number formatting with ‘signif()’.

A list of class summary.gremlin or a printed value to the screen with no return values.

logLik: Model log-likelihood.
formulae: Function call and model fixed, random, and residual formulae.
runtime: A numeric of class ‘difftime’ containing the length of time to run the model. See how this is handled in update.gremlin.
lambda: A logical indicating if the model was transformed to the variance ratio, or lambda scale.
residQuants: A named vector listing summary output for the model residuals.
varcompSummary: Table of variance components and approximate standard errors (calculated from the inverse of the average information matrix). If a (co)variance component is fixed or at the boundary of its parameter space then an NA is returned for the standard error and a column with constraint types is added to the table. Alternative methods (e.g., profile likelihood CIs) should be pursued for obtaining uncertainties associated with fixed or boundary parameters.
varcompSampCor: A matrix containing the sampling correlations of the (co)variance components. Note this is on the underlying nu scale that the model is fitting.
coefficients: Table of fixed effects and standard errors (calculated from the corresponding diagonal elements of the inverse of the coefficient matrix, transformed where necessary).