R: An Implementation of Sensitivity Analysis in Bayesian Networks

# An Implementation of Sensitivity Analysis in Bayesian Networks

## Documentation for package ‘bnmonitor’ version 0.1.4

- DESCRIPTION file.

## Help Pages

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
print | 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