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Delegates to plot.multiLCA from multilevLCA, which draws the class-specific item-response probability profiles of the Step-1 measurement model.

Usage

# S3 method for class 'tseLCA'
plot(x, horiz = FALSE, clab = NULL, ...)

Arguments

x

A fitted tseLCA object.

horiz

Logical. If TRUE, item labels are drawn horizontally.

clab

Optional character vector of length T giving class labels.

...

Further arguments passed to plot.multiLCA.

Value

Called for its side effect (a base-graphics plot). Invisibly returns NULL.

Examples

d     <- generate_data(100, "high", "covariate", seed = 1)
fit_m <- three_step(d, paste0("Y", 1:6), n_classes = 3)
plot(fit_m)

plot(fit_m, clab = c("Low", "Mixed", "High"))