plot: Plot an INLAvaan Object

In INLAvaan: Approximate Bayesian Latent Variable Analysis

Plot an INLAvaan Object

Description

Generates diagnostic plots for a fitted INLAvaan model.

Usage

## S4 method for signature 'INLAvaan,ANY'
plot(
  x,
  y,
  type = c("marg_pdf", "sn_fit", "sn_fit_log"),
  params = "all",
  nrow = NULL,
  ncol = NULL,
  use_ggplot = TRUE,
  points = FALSE,
  ...
)

Arguments

x	An object of class INLAvaan.
y	Not used.
type	Character. One of "marg_pdf" (default; posterior marginal densities), "sn_fit" (skew-normal fit diagnostic on natural scale), or "sn_fit_log" (same on log scale).
params	Character vector of parameter names to plot, or "all" (default) to plot all free parameters.
nrow, ncol	Integer. Number of rows/columns for the facet grid when use_ggplot = TRUE. If NULL (default), layout is chosen automatically.
use_ggplot	Logical. When TRUE (default) and ggplot2 is available, a ggplot2 object is returned. Set to FALSE for a base-R plot.
points	Logical. When TRUE, individual grid points are overlaid on the curves. Defaults to FALSE.
...	Additional arguments (currently unused).

See Also

diagnostics(), summary()

Examples

HS.model <- "
  visual  =~ x1 + x2 + x3
  textual =~ x4 + x5 + x6
  speed   =~ x7 + x8 + x9
"
utils::data("HolzingerSwineford1939", package = "lavaan")
fit <- acfa(HS.model, HolzingerSwineford1939, std.lv = TRUE, nsamp = 100,
            test = "none", verbose = FALSE)

# Posterior marginal densities (default)
plot(fit)

# Skew-normal fit diagnostic for a single parameter
plot(fit, type = "sn_fit", params = "visual=~x1")

INLAvaan documentation built on Oct. 2, 2026, 1:07 a.m.