sensquery {bnmonitor} | R Documentation |
sensquery
returns, for a given change in a probability of interest, the parameters' changes to achieve it together with the corresponding CD distances.
sensquery( bnfit, interest_node, interest_node_value, new_value, evidence_nodes = NULL, evidence_states = NULL )
bnfit |
object of class |
interest_node |
character string. Node of the probability query of interest. |
interest_node_value |
character string. Level of |
new_value |
numeric value between 0 and 1. New value of the probability of interest. |
evidence_nodes |
character string. Evidence nodes. Set by default to |
evidence_states |
character string. Levels of |
The Bayesian network should be expressed as a bn.fit
object.
The name of the node of the probability of interest, its level and the new value should be specified. Evidence could be also indicated.
The probability of interest is specified as follows:
P ( interest_node
= interest_node_value
| evidence_nodes
= evidence_states
) = new_value
Only the proportional co-variation scheme is used.
A dataframe with the following columns: node
- the vertex of the proposed change; Value node
- the level of node
to be changed; Value parents
- the levels of the parent variables of node
; Original value
- the original probability defined by Node
, Value node
and Value parents
; Suggested change
- the new proposed value for the probability defined by Node
, Value node
and Value parents
; CD distance
- the CD distance between the original and new network with the Suggested change
.
Chan, H., & Darwiche, A. (2002). When do numbers really matter?. Journal of artificial intelligence research, 17, 265-287.
sensquery(synthetic_bn,"y3", "3", 0.3)