Bayesian Analysis of Graphical Models

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Documentation for package ‘bgms’ version 0.2.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

$.bgmCompare	Access elements of a bgmCompare object
$.bgms	Access elements of a bgms object
ADHD	ADHD Symptom Checklist for Children Aged 6-8 Years
bernoulli_prior	Bernoulli Prior for Inclusion Indicators
beta_bernoulli_prior	Beta-Bernoulli Prior for Inclusion Indicators
beta_prime_prior	Beta-Prime Prior for Model Parameters
bgm	Bayesian Estimation or Edge Selection for Markov Random Fields
bgmCompare	Bayesian Estimation and Variable Selection for Group Differences in Markov Random Fields
Boredom	Short Boredom Proneness Scale Responses
calibration_check	Calibration Check
cauchy_prior	Cauchy Prior for Model Parameters
coef.bgmCompare	Extract Coefficients from a bgmCompare Object
coef.bgms	Extract Coefficients from a bgms Object
exponential_prior	Exponential Prior for Scale Parameters
extract_arguments	Extract Model Arguments
extract_category_thresholds	Extract Category Threshold Estimates
extract_centrality	Extract Posterior Centrality
extract_ess	Extract Effective Sample Size
extract_group_params	Extract Group-Specific Parameters
extract_inclusion_bf	Extract Rao-Blackwellized Inclusion Bayes Factors
extract_indicators	Extract Indicator Samples
extract_indicator_priors	Extract Indicator Prior Structure
extract_log_odds	Extract Posterior Mean Log-Odds (Pairwise Interactions)
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_prior_inclusion_probabilities	Extract Prior Inclusion Probabilities
extract_rhat	Extract R-hat Convergence Diagnostics
extract_sbm	Extract Stochastic Block Model Summaries
gamma_prior	Gamma Prior for Scale Parameters
normal_prior	Normal Prior for Model Parameters
plot.bgmCompare	Plot a Fitted bgmCompare Model
plot.bgms	Plot a Fitted bgms Model
plot.bgms_calibration	Plot a Calibration Check
plot.bgms_centrality	Plot Posterior Centrality
plot.bgms_prior_sensitivity	Plot a Prior Sensitivity Check
plot_edge_posterior	Plot the Posterior of One Edge Weight
predict.bgmCompare	Predict Conditional Probabilities from a Fitted bgmCompare Model
predict.bgms	Predict Conditional Probabilities from a Fitted bgms Model
print.bgmCompare	Print method for 'bgmCompare' objects
print.bgms	Print method for 'bgms' objects
print.bgms_calibration	Print a Calibration Check
print.bgms_prior_sensitivity	Print a Prior Sensitivity Check
print.bgms_verdicts	Print Edge Verdicts
prior_sensitivity_check	Prior Sensitivity of Inclusion Verdicts
sample_ggm_prior	Sample from the GGM (Partial-Association) Prior
sample_graph_prior	Sample from the Graph Prior
sample_sbm_prior	Sample from the Stochastic-Block Edge-Prior Hyperprior
sbm_prior	Stochastic Block Model Prior for Inclusion Indicators
simulate.bgmCompare	Simulate Data from a Fitted bgmCompare Model
simulate.bgms	Simulate Data from a Fitted bgms Model
simulate_mrf	Simulate Observations from a Markov Random Field
summarize_zratio_gauge	Summarize the Hierarchical Prior Trust Gauge
summary.bgmCompare	Summary method for 'bgmCompare' objects
summary.bgms	Summary method for 'bgms' objects
summary.bgms_centrality	Summarize Posterior Centrality
verdicts	Edge Verdicts and Their Monte Carlo Fragility
Wenchuan	PTSD Symptoms in Wenchuan Earthquake Survivors Who Lost a Child
[[.bgmCompare	Access elements of a bgmCompare object
[[.bgms	Access elements of a bgms object