filtered_fold_dt

size

the variable that labels each individual instance of the time-series

id_var

boolean that decides whether or not the id_var column is deleted

clear_id_var

If the dataset that is going to be folded contains several different time-series 
instances of the same process, folding it could introduce false rows with data
from different time-series. Given an id variable that labels the different 
instances of a time series inside a dataset and a desired size, this function 
folds the dataset and avoids mixing data from different origins in the same instance.

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.

filtered_fold_dt: Fold a dataset to a certain size and avoid overlapping of different time-series

Description

Usage

Arguments

Value