filter_same_cycle

f_dt

size

<p>the variable that labels each individual instance of the time series</p>

id_var

<p>Given an id variable that labels the different instances of a time series
inside a dataset, discard the rows that have values from more than 1 id.</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.

filter_same_cycle: Filter the instances in a data.table that have values of different ids in each row

Description

Usage

Arguments

Value