The expanded group-level layer can inspect raw posterior deviations, rank uncertainty, and baseline latent variance partitioning.
draws <- group_effect_draws_table(
fit,
groups = "participant_id",
coefficients = "Intercept",
ndraws = 1000
)
ranks <- group_effect_rank_probability_table(
fit,
group = "participant_id",
coefficient = "Intercept"
)
partition <- random_intercept_variance_partition(fit)
plot_group_effect_distribution(draws)
plot_group_effect_rank_probability(ranks)
plot_random_intercept_variance_partition(partition)Rank probabilities and variance fractions remain descriptive posterior quantities; they do not establish substantive group importance or causal variance attribution.