Package index • bgms

Model fitting

Fit Bayesian graphical models and compare groups.

bgm(): Bayesian Estimation or Edge Selection for Markov Random Fields
bgmCompare(): Bayesian Estimation and Variable Selection for Group Differences in Markov Random Fields

Inspect and summarize fitted models.

Simulate from Markov random fields and predict new observations.

simulate_mrf(): Simulate Observations from a Markov Random Field
simulate(<bgms>): Simulate Data from a Fitted bgms Model
simulate(<bgmCompare>): Simulate Data from a Fitted bgmCompare Model
predict(<bgms>): Predict Conditional Probabilities from a Fitted bgms Model
predict(<bgmCompare>): Predict Conditional Probabilities from a Fitted bgmCompare Model

Extract specific components from fitted model objects.

extract_arguments(): Extract Model Arguments
extract_category_thresholds() deprecated: Extract Category Threshold Estimates
extract_ess(): Extract Effective Sample Size
extract_group_params(): Extract Group-Specific Parameters
extract_indicator_priors(): Extract Indicator Prior Structure
extract_indicators(): Extract Indicator Samples
extract_log_odds(): Extract Posterior Mean Log-Odds
extract_main_effects(): Extract Main Effect Estimates
extract_pairwise_interactions(): Extract Pairwise Interaction Samples
extract_partial_correlations(): Extract Posterior Mean Partial Correlations
extract_posterior_inclusion_probabilities(): Extract Posterior Inclusion Probabilities
extract_precision(): Extract Posterior Mean Precision Matrix
extract_rhat(): Extract R-hat Convergence Diagnostics
extract_sbm(): Extract Stochastic Block Model Summaries

Deprecated functions retained for backwards compatibility.