An Implementation of Sensitivity Analysis in Bayesian Networks

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Documentation for package ‘bnmonitor’ version 0.2.0

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amalgamation Amalgamation of levels
asy_measure Measures of asymmetric independence
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
diameter Diameters in a Bayesian network
dwi Distance-weigthed influence
edge_strength Strength of edges in a Bayesian network
ewi Edge-weigthed influence
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
mutual_info Mutual information
node_monitor Node monitor
orderp_covar Co-variation schemes
partial_covar_matrix Co-variation matrices
plot Plotting methods
plot.CD Plotting methods
plot.diameter Plotting methods
plot.dwi Plotting methods
plot.edgestrength Plotting methods
plot.ewi 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.mutualinfo 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.diameter Printing methods
print.dwi Printing methods
print.ewi Printing methods
print.final_node_monitor Printing methods
print.fro Printing methods
print.jeffreys Printing methods
print.kl Printing methods
print.mutualinfo 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