queryFinding: Query an independence network, given a finding.

In rjbgoudie/structmcmc: Structural inference for Bayesian Networks and Variable Selection.

Description

Query a finding, and apply FUN. Just a wrapper around setFinding and querygrain.

Usage

  queryFinding(x, node, nodeWithState, nodeState, FUN, ...)

Arguments

x	A grain
node	Character vector of length 1. The node whose marginal distribution is required.
nodeWithState	Character vector of length 1. The node whose state is to be conditioned upon.
nodeState	The state to set nodeWithState to. A character vetor of length 1.
FUN	a function that is applied to the output of querygrain. The first argument should accept the result of querygrain FOR A PARTICULAR NODE. (Usaully querygrain returns a list, since it may provide the distribution of a number of nodes at once. Here, we remove that list.) Any other arguments are passed ...
...	Passed to FUN

Value

The result of FUN

See Also

as.grain, marginalGivenOthers, marginalGivenIntervention

rjbgoudie/structmcmc documentation built on Nov. 3, 2020, 3:41 a.m.