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One row per participant, one interval per factor on the bounded loading scale, with selected flags marked. The dotted rules sit at the classical descriptive cut-off 1.96 / sqrt(J) (reference).

Usage

plot_loading_posterior(fit, q = 0.05)

# S3 method for class 'bayesqm_fit'
plot(x, ...)

Arguments

fit

A bayesqm_fit.

q

False-discovery level for the flag marks (default 0.05).

x, ...

A bayesqm_fit and arguments passed on.

Value

fit, invisibly.