Bayesian Gaussian Graphical Models
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘BGGM’ version 2.1.3
Help Pages
| asd_ocd | Data: Autism and Obssesive Compulsive Disorder |
| bfi | Data: 25 Personality items representing 5 factors |
| bggm_missing | GGM: Missing Data |
| coef.estimate | Compute Regression Parameters for 'estimate' Objects |
| coef.explore | Compute Regression Parameters for 'explore' Objects |
| confirm | GGM: Confirmatory Hypothesis Testing |
| constrained_posterior | Constrained Posterior Distribution |
| convergence | MCMC Convergence |
| csws | Data: Contingencies of Self-Worth Scale (CSWS) |
| depression_anxiety_t1 | Data: Depression and Anxiety (Time 1) |
| depression_anxiety_t2 | Data: Depression and Anxiety (Time 2) |
| estimate | GGM: Estimation |
| explore | GGM: Exploratory Hypothesis Testing |
| fisher_r_to_z | Fisher Z Transformation |
| fisher_z_to_r | Fisher Z Back Transformation |
| gen_net | Simulate a Partial Correlation Matrix |
| gen_ordinal | Generate Ordinal and Binary data |
| ggm_compare_confirm | GGM Compare: Confirmatory Hypothesis Testing |
| ggm_compare_estimate | GGM Compare: Estimate |
| ggm_compare_explore | GGM Compare: Exploratory Hypothesis Testing |
| ggm_compare_ppc | GGM Compare: Posterior Predictive Check |
| gss | Data: 1994 General Social Survey |
| ifit | Data: ifit Intensive Longitudinal Data |
| impute_data | Obtain Imputed Datasets |
| iri | Data: Interpersonal Reactivity Index (IRI) |
| map | Maximum A Posteriori Precision Matrix |
| pcor_mat | Extract the Partial Correlation Matrix |
| pcor_sum | Partial Correlation Sum |
| pcor_to_cor | Compute Correlations from the Partial Correlations |
| plot.confirm | Plot 'confirm' objects |
| plot.ggm_compare_ppc | Plot 'ggm_compare_ppc' Objects |
| plot.pcor_sum | Plot 'pcor_sum' Object |
| plot.predictability | Plot 'predictability' Objects |
| plot.roll_your_own | Plot 'roll_your_own' Objects |
| plot.select | Network Plot for 'select' Objects |
| plot.summary.estimate | Plot 'summary.estimate' Objects |
| plot.summary.explore | Plot 'summary.explore' Objects |
| plot.summary.ggm_compare_estimate | Plot 'summary.ggm_compare_estimate' Objects |
| plot.summary.ggm_compare_explore | Plot 'summary.ggm_compare_explore' Objects |
| plot.summary.select.explore | Plot 'summary.select.explore' Objects |
| plot.summary.var_estimate | Plot 'summary.var_estimate' Objects |
| plot_prior | Plot: Prior Distribution |
| posterior_predict | Posterior Predictive Distribution |
| posterior_samples | Extract Posterior Samples |
| precision | Precision Matrix Posterior Distribution |
| predict.estimate | Model Predictions for 'estimate' Objects |
| predict.explore | Model Predictions for 'explore' Objects |
| predict.var_estimate | Model Predictions for 'var_estimate' Objects |
| predictability | Predictability: Bayesian Variance Explained (R2) |
| predicted_probability | Predicted Probabilities |
| print.BGGM | Print method for 'BGGM' objects |
| prior_belief_ggm | Prior Belief Gaussian Graphical Model |
| prior_belief_var | Prior Belief Graphical VAR |
| ptsd | Data: Post-Traumatic Stress Disorder |
| ptsd_cor1 | Data: Post-Traumatic Stress Disorder (Sample # 1) |
| ptsd_cor2 | Data: Post-Traumatic Stress Disorder (Sample # 2) |
| ptsd_cor3 | Data: Post-Traumatic Stress Disorder (Sample # 3) |
| ptsd_cor4 | Data: Post-Traumatic Stress Disorder (Sample # 4) |
| regression_summary | Summarary Method for Multivariate or Univarate Regression |
| roll_your_own | Compute Custom Network Statistics |
| rsa | Data: Resilience Scale of Adults (RSA) |
| Sachs | Data: Sachs Network |
| select | S3 'select' method |
| select.estimate | Graph Selection for 'estimate' Objects |
| select.explore | Graph selection for 'explore' Objects |
| select.ggm_compare_estimate | Graph Selection for 'ggm_compare_estimate' Objects |
| select.ggm_compare_explore | Graph selection for 'ggm_compare_explore' Objects |
| select.var_estimate | Graph Selection for 'var.estimate' Object |
| summary.coef | Summarize 'coef' Objects |
| summary.estimate | Summary method for 'estimate.default' objects |
| summary.explore | Summary Method for 'explore.default' Objects |
| summary.ggm_compare_estimate | Summary method for 'ggm_compare_estimate' objects |
| summary.ggm_compare_explore | Summary Method for 'ggm_compare_explore' Objects |
| summary.predictability | Summary Method for 'predictability' Objects |
| summary.select.explore | Summary Method for 'select.explore' Objects |
| summary.var_estimate | Summary Method for 'var_estimate' Objects |
| tas | Data: Toronto Alexithymia Scale (TAS) |
| var_estimate | VAR: Estimation |
| weighted_adj_mat | Extract the Weighted Adjacency Matrix |
| women_math | Data: Women and Mathematics |
| zero_order_cors | Zero-Order Correlations |