get_fitted: Get model all fitted values.

In itsadug: Interpreting Time Series and Autocorrelated Data Using GAMMs

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	A gam object, produced by gam or bam.
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 infoMessages).

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)

itsadug documentation built on June 17, 2022, 5:05 p.m.