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Extract Stochastic Block Model Summaries

Source: R/extractor_functions.R
extract_sbm.Rd

Retrieves posterior summaries from a model fitted with bgm() using the Stochastic Block prior on edge inclusion.

Usage

extract_sbm(bgms_object)

Arguments

bgms_object

A fitted model object of class bgms (from bgm()).

Value

A list with elements posterior_num_blocks, posterior_mean_allocations, posterior_mode_allocations, and posterior_mean_coclustering_matrix. Requires edge_selection = TRUE and edge_prior = "Stochastic-Block".

See also

bgm(), extract_indicators(), extract_posterior_inclusion_probabilities()

Other extractors: extract_arguments(), extract_category_thresholds(), extract_ess(), extract_group_params(), extract_indicator_priors(), extract_indicators(), extract_log_odds(), extract_main_effects(), extract_pairwise_interactions(), extract_partial_correlations(), extract_posterior_inclusion_probabilities(), extract_precision(), extract_rhat()