summary.galamm {galamm} | R Documentation |
Summarizing GALAMM fits
Description
Summary method for class "galamm".
Usage
## S3 method for class 'galamm'
summary(object, ...)
Arguments
object |
An object of class |
... |
Further arguments passed on to other methods. Currently not used. |
Value
A list of summary statistics of the fitted model of class
summary.galamm
, containing the following elements:
-
AICtab
a table of model fit measures, returned byllikAIC
. -
call
the matched call used when fitting the model. -
fixef
a matrix with fixed effect estimated, returned byfixef
. -
gam
List containing information about smooth terms in the model. If no smooth terms are contained in the model, then it is a list of length zero. -
model
a list with various elements related to the model setup and fit. See?galamm
for details. -
parameters
A list object with model parameters and related information. See?galamm
for details. -
Lambda
An object containing the estimated factor loadings. Returned fromfactor_loadings.galamm
. If there are no estimated factor loadings, then this object isNULL
. -
random_effects
a list containing the random effects. See?galamm
for details. -
VarCorr
An object of classVarCorr.galamm
, returned fromVarCorr.galamm
. -
weights
An object containing information about estimated variance functions, when there are heteroscedastic residuals. Otherwise the object isNULL
.
Author(s)
Some of the code for producing summary information has been derived
from the summary methods of mgcv
(author: Simon Wood) and
lme4
(Bates et al. 2015)
(authors: Douglas M. Bates, Martin Maechler, Ben Bolker, and Steve Walker).
See Also
print.summary.galamm()
for the print method and summary()
for
the generic.
Other summary functions:
anova.galamm()
,
plot.galamm()
,
plot_smooth.galamm()
,
print.summary.galamm()
Examples
# Linear mixed model with heteroscedastic residuals
mod <- galamm(
formula = y ~ x + (1 | id),
weights = ~ (1 | item),
data = hsced
)
summary(mod)