sensquery: Sensitivity of probability query

In rramsiya/bnsens: Sensitivity analysis for discrete data in Bayesian networks

Description

sensquery returns for a given probability of interest the parameters changes that make it possible and the resulting CD distances.

Usage

sensquery(bnfit, interest_node, interest_node_value, new_value,
  evidence_nodes = NULL, evidence_states = NULL)

Arguments

bnfit	object of class bn.fit
interest_node	character string. Node of the probability query of interest.
interest_node_value	character string. Level of interest_node
new_value	numeric value between 0 and 1. Value of the probability of interest.
evidence_nodes	character string. Evidence nodes. Set by default to NULL.
evidence_states	character string. Levels of evidence_nodes. If NULL no evidence is considerated. If evidence_nodes="NULL", evidence_states should be set to NULL. Set by default to NULL.

Details

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

By default, the proportional covariation scheme is used for computing the CD distance.

See Also

Other sensitivity: sensitivity

rramsiya/bnsens documentation built on Sept. 30, 2020, 3:28 p.m.