
Class For Representing a (Fitted) Latent Variable Model
Source:R/INLAvaan-class.R, R/method-plot.R, R/method-predict.R, and 3 more
INLAvaan-class.RdThis is a class that extends the lavaan::lavaan class. Several S4 methods are available.
Usage
# S4 method for class 'INLAvaan,ANY'
plot(x, y, ...)
# S4 method for class 'INLAvaan'
predict(object, nsamp = 1000, ...)
# S4 method for class 'INLAvaan'
show(object)
# S4 method for class 'INLAvaan'
coef(object)
# S4 method for class 'INLAvaan'
summary(
object,
header = TRUE,
fit.measures = TRUE,
estimates = TRUE,
standardized = FALSE,
rsquare = FALSE,
postmedian = FALSE,
postmode = FALSE,
priors = TRUE,
nd = 3L,
...
)
# S4 method for class 'INLAvaan'
vcov(object)Arguments
- x
An object of class INLAvaan.
- y
Not used.
- ...
Not used.
- object
An object of class INLAvaan.
- nsamp
The number of samples to draw for all sampling-based approaches (including posterior sampling for model fit indices).
- header
Logical; if TRUE, print model fit information header.
- fit.measures
Logical; if TRUE, print fit measures (DIC and PPP).
- estimates
Logical; if TRUE, print parameter estimates table.
- standardized
Logical; if TRUE, include standardized estimates.
- rsquare
Logical; if TRUE, include R-square values.
- postmedian
Logical; if TRUE, include posterior median in estimates.
- postmode
Logical; if TRUE, include posterior mode in estimates.
- priors
Logical; if TRUE, include prior information in estimates.
- nd
Integer; number of decimal places to print for numeric values.