R: Bayesian Gaussian Graphical Models

# Bayesian Gaussian Graphical Models

## Documentation for package ‘BGGM’ version 2.1.5

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

## Help Pages

asd_ocd | Data: Autism and Obssesive Compulsive Disorder
bfi | Data: 25 Personality items representing 5 factors
bggm_missing | GGM: Missing Data
bma_posterior | Compute Posterior Distributions from Graph Search Results
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
ggm_search | Perform Bayesian Graph Search and Optional Model Averaging
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