Each model's AIC, BIC and sample-size adjusted BIC, lowest best; the model with the smallest BIC is marked.
Usage
# S3 method for class 'latents_comparison'
plot(x, main = NULL, subtitle = NULL, ...)Arguments
- x
A
latents_comparisonfromcompare_models().- main, subtitle
Title and subtitle.
- ...
Unused.
Examples
few_students <- subset(growth_scores, student <= 60)
trajectories <- mixture_regression(score ~ wave, few_students, n_classes = 2,
id = "student", class_level = "group",
seed = 1)
growth <- mixture_regression(score ~ wave, few_students, n_classes = 2,
id = "student", class_level = "group",
random = "intercept", seed = 1)
comparison <- compare_models(trajectories = trajectories, growth = growth)
if (requireNamespace("ggplot2", quietly = TRUE)) plot(comparison)
