| bn2 | Integration with 'bn.fit' objects from 'bnlearn' | 
| bn2ci | Integration with 'bn.fit' objects from 'bnlearn' | 
| bn2gbn | Integration with 'bn.fit' objects from 'bnlearn' | 
| bnmonitor | bnmonitor: A package for sensitivity analysis and robustness in Bayesian networks | 
| cachexia | Bayesian networks for a cachexia study | 
| cachexia_ci | Bayesian networks for a cachexia study | 
| cachexia_data | Bayesian networks for a cachexia study | 
| cachexia_gbn | Bayesian networks for a cachexia study | 
| CD | CD-distance | 
| chds | Christchurch Health and Development Study | 
| chds_bn | Christchurch Health and Development Study | 
| chds_bn.fit | Christchurch Health and Development Study | 
| col_covar_matrix | Co-variation matrices | 
| control_ci | Bayesian networks for a cachexia study | 
| control_gbn | Bayesian networks for a cachexia study | 
| covariance_var | Standard variation of the covariance matrix | 
| covariation | Co-variation schemes | 
| covariation_matrix | Co-variation matrices | 
| diabetes | Pima Indian Diabetes Data | 
| final_node_monitor | Final node monitors | 
| fire_alarm | Bayesian network on fire alarm system | 
| Fro | Frobenius norm | 
| Fro.CI | Frobenius norm for 'CI' | 
| Fro.GBN | Frobenius norm for 'GBN' | 
| global_monitor | Global monitor | 
| influential_obs | Influential observations | 
| Jeffreys | Jeffreys Divergence | 
| Jeffreys.CI | Jeffreys Divergence for 'CI' | 
| Jeffreys.GBN | Jeffreys Divergence for 'GBN' | 
| KL | KL Divergence | 
| KL.bn.fit | KL Divergence for 'bn.fit' | 
| KL.CI | KL Divergence for 'CI' | 
| KL.GBN | KL Divergence for 'GBN' | 
| KL_bounds | Bounds for the KL-divergence | 
| mathmarks | Math Marks Data | 
| mean_var | Standard variation of the mean vector | 
| model_pres_cov | Model-Preserving co-variation | 
| node_monitor | Node monitor | 
| orderp_covar | Co-variation schemes | 
| partial_covar_matrix | Co-variation matrices | 
| plot | Plotting methods | 
| plot.CD | Plotting methods | 
| plot.final_node_monitor | Plotting methods | 
| plot.fro | Plotting methods | 
| plot.influential_obs | Plotting methods | 
| plot.jeffreys | Plotting methods | 
| plot.kl | Plotting methods | 
| plot.node_monitor | Plotting methods | 
| plot.sensitivity | Plotting methods | 
| plot.seq_cond_monitor | Plotting methods | 
| plot.seq_marg_monitor | Plotting methods | 
| plot.seq_pa_ch_monitor | Plotting methods | 
| Printing methods | |
| print.CD | Printing methods | 
| print.final_node_monitor | Printing methods | 
| print.fro | Printing methods | 
| print.jeffreys | Printing methods | 
| print.kl | Printing methods | 
| print.node_monitor | Printing methods | 
| print.sensitivity | Printing methods | 
| print.seq_cond_monitor | Printing methods | 
| print.seq_marg_monitor | Printing methods | 
| print.seq_pa_ch_monitor | Printing methods | 
| proportional_covar | Co-variation schemes | 
| psd_check | Check for positive semi-definiteness after a perturbation | 
| psd_check.CI | Check for positive semi-definiteness after a perturbation | 
| psd_check.GBN | Check for positive semi-definiteness after a perturbation | 
| row_covar_matrix | Co-variation matrices | 
| sensitivity | Sensitivity function | 
| sensquery | Sensitivity of probability query | 
| seq_cond_monitor | Sequential node monitors | 
| seq_marg_monitor | Sequential node monitors | 
| seq_node_monitor | Sequential node monitors | 
| seq_pa_ch_monitor | Sequential parent-child node monitors | 
| synthetic_bn | A synthetic Bayesian network | 
| synthetic_cbn | A synthetic continuous Bayesian network | 
| synthetic_ci | A synthetic continuous Bayesian network | 
| synthetic_gbn | A synthetic continuous Bayesian network | 
| total_covar_matrix | Co-variation matrices | 
| travel | Bayesian network on travel survey | 
| uniform_covar | Co-variation schemes |