motor

<p>Data from several sensors on an electric motor that records different
benchmark sessions of measurements at 2 Hz. The dataset is reduced to
3000 instances from the 60th session in order to include it in the package
for testing purposes. For the complete dataset, refer to the source.</p>

datasets

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

dbnR

Dynamic Bayesian Network Learning and Inference

Gabriel Valverde

motor function

<p>An object of class <code>data.table</code> (inherits from <code>data.frame</code>) with 3000 rows and 11 columns.</p>

motor: Multivariate time series dataset on the temperature of an electric motor

Description

Usage

Arguments

Format