approx_prediction_step

variables

particles

<p>the number of particles to be used by bnlearn</p>

<p>Given a bn.fit object and some variables, performs
particle inference over such variables in the net for a given time slice.</p>

Learning and inference over dynamic Bayesian networks of arbitrary
Markovian order. Extends some of the functionality offered by the 'bnlearn'
package to learn the networks from data and perform exact inference.
It offers three structure learning algorithms for dynamic Bayesian networks
and the possibility to perform forecasts of arbitrary length. A tool for
visualizing the structure of the net is also provided via the 'visNetwork'
package.

David Quesada

approx_prediction_step: Performs approximate inference in a time slice of the dbn

Description

Usage

Arguments

Value