plot.blavaan: blavaan Diagnostic Plots

In blavaan: Bayesian Latent Variable Analysis

blavaan Diagnostic Plots

Description

Convenience functions to create plots of blavaan objects, via the bayesplot package.

Usage

## S3 method for class 'blavaan'
plot(x, pars = NULL, plot.type = "trace", showplot = TRUE, ...)

Arguments

x	An object of class blavaan.
pars	Parameter numbers to plot, where the numbers correspond to the order of parameters as reported by coef() (also as shown in the 'free' column of the parTable). If no numbers are provided, all free parameters will be plotted.
plot.type	The type of plot desired. This should be the name of a MCMC function, without the mcmc_ prefix.
showplot	Should the plot be sent to the graphic device? Defaults to TRUE.
...	Other arguments sent to the bayesplot function.

Details

In previous versions of blavaan, the plotting functionality was handled separately for JAGS and for Stan (using plot functionality in packages runjags and rstan, respectively). For uniformity, all plotting functionality is now handled by bayesplot. If users desire additional functionality that is not immediately available, they can extract the matrix of MCMC draws via as.matrix(blavInspect(x, 'mcmc')).

Value

An invisible ggplot object that, if desired, can be further customized.

Examples

## Not run: 
data(HolzingerSwineford1939, package = "lavaan")

HS.model <- ' visual  =~ x1 + x2 + x3
              textual =~ x4 + x5 + x6
              speed   =~ x7 + x8 + x9 '

fit <- bcfa(HS.model, data = HolzingerSwineford1939)

# trace plots of free loadings
plot(fit, pars = 1:6)

## End(Not run)

blavaan documentation built on Sept. 11, 2024, 8:37 p.m.