An Implementation of Sensitivity Analysis in Bayesian Networks

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Documentation for package ‘bnmonitor’ version 0.2.2

• DESCRIPTION file.

Help Pages

.onAttach	Message for the User
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