shift_values: Move the window of values backwards in a folded dataset row

In dbnR: Dynamic Bayesian Network Learning and Inference

Move the window of values backwards in a folded dataset row

Description

This function moves the values in t_0, t_1, ..., t_n-1 in a folded dataset row to t_1, t_2, ..., t_n. All the variables in t_0 will be inputed with NAs and the obtained row can be used to forecast up to any desired point.

Usage

shift_values(f_dt, row)

Arguments

f_dt	a folded dataset
row	the index of the row that is going to be processed

Value

a one row data.table the shifted values

Examples

dt <- dbnR::motor
f_dt <- dbnR::fold_dt(dt, size = 2)
s_row <- dbnR::shift_values(f_dt, row = 500)

dbnR documentation built on Oct. 5, 2022, 1:07 a.m.