summary.asreml {asreml} | R Documentation |
A summary
method for objects inheriting from class
asreml
.
## S3 method for class 'asreml' summary(object, param = c("sigma", "gamma"), coef = FALSE, vparameters = FALSE, ...)
object |
An |
param |
if |
coef |
If |
vparameters |
If |
... |
Additional arguments. |
A list of class summary.asreml
with the following components:
The call
component from object
.
The loglik
component from object
.
The nedf
component from object
.
sqrt(object\$sigma2)
.
A dataframe summarising the random parameter vector
(object$vparameters
). Variance component ratios are included if
param="gamma"
, and a measure of precision is included along
with boundary constraints at termination and the percentage change
in the final iteration.
Akaike information criterion.
Bayesian information criterion.
A character string identifying the error
distribution(s) if object$deviance != 0
.
A character string identifying the link function(s) if
object$deviance != 0
.
The deviance from the fit if object$deviance
!= 0
.
Variance heterogeneity (deviance/nedf
)
if object$deviance != 0
.
A matrix of coefficients and their standard errors
for fixed effects if coef=TRUE
.
A matrix of coefficients and their standard errors
for random effects if coef=TRUE
.
A matrix of coefficients and their standard
errors for sparse-fixed effects if coef=TRUE
.
A list of variance structures with matrices converted
to full dense form. For ante
and chol
models the
components are given in varcomp
and returned in
gammas
in variance-covariance form.