summary.gremlin function

Gremlin model summary.

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), ...)

Arguments

• 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() .

Returns

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).

Examples

grS <- gremlin(WWG11 ~ sex - 1, random = ~ sire, data = Mrode11)
summary(grS)

See Also

gremlin

Author(s)

matthewwolak@gmail.com