predict.dbn.fit

Generic method for predicting a dataset with a "dbn.fit" S3 objects. Calls 
<code>predict_dt</code> underneath.

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:
Trabelsi G. (2013) <doi:10.1007/978-3-642-41398-8_34>, Santos F.P. and Maciel C.D. (2014)
<doi:10.1109/BRC.2014.6880957>, Quesada D., Bielza C. and Larrañaga P. (2021)
<doi:10.1007/978-3-030-86271-8_14>. It also offers 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

predict.dbn.fit function

<dl><dt>object</dt>
<dd>a "dbn.fit" object</dd>
<dt>...</dt>
<dd>additional parameters for the inference process</dd></dl>

Arguments

Performs inference in every row of a dataset with a DBN — predict.dbn.fit

<dl>

<dt>object</dt>
<dd>a "dbn.fit" object</dd>


<dt>...</dt>
<dd>additional parameters for the inference process</dd>

</dl>

Data engineering and BI courses are free!

predict.dbn.fit: Performs inference in every row of a dataset with a DBN

Description

Usage

Value

Arguments