performBatchMI: Run the batch external MI test

In mickash/Adaptive-Bayesian-Networks: Adaptive Bayesian Networks.

Description

Run the external MI test on a batch of items in a network's data table

Usage

performBatchMI(net, first, last, nodes, envNodes, weights, number, filename,
  pause = 2)

Arguments

net	A network object. The network should have a valid data views.
first	The first item to look at
last	The last item to look at
nodes	The nodes to check mutual information of environment variables on, in 1-indexed form.
envNodes	The environment variables, in 1-indexed form.
weights	The weights, if a combined MI result desired. Should be one weight for each node, or NULL. Intended to be probabilities of nodes, though importance weights could be used as well.
number	The number of samples
filename	The full filename to write the results to.
pause	The duration in seconds to wait after making system call

Value

Nothing. But writes the MI matrix nodes vs envNodes. If a weights vector has been given, there will be an additional row which is a weighted combination of the other rows.

mickash/Adaptive-Bayesian-Networks documentation built on Nov. 14, 2019, 12:14 a.m.