global_monitor {bnmonitor} | R Documentation |
Global monitor
Description
Negative marginal log-likelihood of the model
Usage
global_monitor(dag, df, alpha = "default")
Arguments
dag |
an object of class |
df |
a base R style dataframe |
alpha |
single integer. By default, number of max levels in |
Value
A numerical value
References
Cowell, R. G., Dawid, P., Lauritzen, S. L., & Spiegelhalter, D. J. (2006). Probabilistic networks and expert systems: Exact computational methods for Bayesian networks. Springer Science & Business Media.
Cowell, R. G., Verrall, R. J., & Yoon, Y. K. (2007). Modeling operational risk with Bayesian networks. Journal of Risk and Insurance, 74(4), 795-827.
See Also
node_monitor
, influential_obs
, final_node_monitor
, seq_node_monitor
, seq_pa_ch_monitor
Examples
global_monitor(chds_bn, chds, 3)
[Package bnmonitor version 0.2.0 Index]