approximate_inference {dbnR}

Performs approximate inference forecasting with the GDBN over a dataset

Description

Given a bn.fit object, the size of the net and a dataset, performs approximate forecasting with bnlearns cpdist function over the initial evidence taken from the dataset.

Usage

approximate_inference(dt, fit, obj_vars, ini, rep, len, num_p)

Arguments

dt

data.table object with the TS data

fit

bn.fit object

obj_vars

variables to be predicted

ini

starting point in the dataset to forecast.

rep

number of repetitions to be performed of the approximate inference

len

length of the forecast

num_p

number of particles to be used by bnlearn

Value

a list with the mu results of the forecast