time_rename

This will rename the columns in a data.table so that
they end in '_t_0', which will be needed when folding the data.table. If
any of the columns already ends in '_t_0', a warning will be issued and
no further operation will be done. There is no need to use this function
to learn a DBN unless some operation with the variable names wants to be 
done prior to folding a dataset.

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

time_rename function

<dl><dt>dt</dt>
<dd>the data.table to be treated</dd></dl>

Arguments

Renames the columns in a data.table so that they end in '_t_0' — time_rename

<dl>

<dt>dt</dt>
<dd>the data.table to be treated</dd>

</dl>

time_rename: Renames the columns in a data.table so that they end in '_t_0'

Description

Usage

Value

Arguments

Examples