summary.gremlin {gremlin} | R Documentation |
Gremlin model summary.
Description
Summarize and print results of linear mixed model fitted with gremlin.
Usage
## 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 |
... |
Additional arguments to be passed to control the output. |
digits |
An |
Value
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 inupdate.gremlin
.- lambda
A
logical
indicating if the model was transformed to the variance ratio, orlambda
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 underlyingnu
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).
Author(s)
See Also
Examples
grS <- gremlin(WWG11 ~ sex - 1, random = ~ sire, data = Mrode11)
summary(grS)