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 |

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 monitors |

orderp_covar | Co-variation schemes |

partial_covar_matrix | Co-variation matrices |

plot | Plotting methods |

plot.CD | Plotting methods |

plot.fro | Plotting methods |

plot.global_monitor | 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.fro | Printing methods |

print.global_monitor | 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 |