Summarize and print results of linear mixed model fitted with gremlin.
# S3 method for gremlin
summary(object, ...)# S3 method for summary.gremlin
print(x, digits = max(3, getOption("digits") - 3), ...)
An object of class ‘gremlin’ or
‘summary.gremlin’.
Additional arguments to be passed to control the output.
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.
Model log-likelihood.
Function call and model fixed, random, and residual formulae.
A numeric of class ‘difftime’ containing
the length of time to run the model. See how this is handled in
update.gremlin.
A logical indicating if the model was transformed
to the variance ratio, or lambda scale.
A named vector listing summary output for the
model residuals.
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.
A matrix containing the sampling correlations
of the (co)variance components. Note this is on the underlying nu
scale that the model is fitting.
Table of fixed effects and standard errors (calculated from the corresponding diagonal elements of the inverse of the coefficient matrix, transformed where necessary).
# NOT RUN {
grS <- gremlin(WWG11 ~ sex - 1, random = ~ sire, data = Mrode11)
summary(grS)
# }
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