get_fitted {itsadug} | R Documentation |
Get model all fitted values.
Description
Get model all fitted values.
Usage
get_fitted(
model,
se = 1.96,
rm.ranef = NULL,
as.data.frame = FALSE,
print.summary = getOption("itsadug_print")
)
Arguments
model |
|
se |
A number to scale the standard error. Defaults to 1.96, resulting in 95% confidence intervals. For 99% confidence intervals use a value of 2.58. |
rm.ranef |
Logical: whether or not to remove random effects. Default is FALSE. Alternatively a string (or vector of strings) with the name of the random effect(s) to remove. |
as.data.frame |
Logical: return values as data frame or as vector. Default is FALSE (as vector). |
print.summary |
Logical: whether or not to print a summary of the
values selected for each predictor.
Default set to the print info messages option
(see |
Value
A data frame with estimates and optionally errors.
Author(s)
Jacolien van Rij
See Also
Other Model predictions:
get_coefs()
,
get_difference()
,
get_modelterm()
,
get_predictions()
,
get_random()
Examples
data(simdat)
## Not run:
m1 <- bam(Y ~ Group + s(Time, by=Group)+ s(Subject, bs='re'),
data=simdat)
# as.data.frame FALSE and rm.ranef=NULL results in fitted():
all( get_fitted(m1) == fitted(m1) )
# now fitted values without random effects:
all( get_fitted(m1, rm.ranef=TRUE) == fitted(m1) )
head(get_fitted(m1, rm.ranef=TRUE))
# without summary:
infoMessages('off')
head(get_fitted(m1, rm.ranef=TRUE))
infoMessages('on')
## End(Not run)
[Package itsadug version 2.4.1 Index]