exact_inference_backwards {dbnR} | R Documentation |
Performs exact inference smoothing with the GDBN over a dataset
Description
Given a bn.fit object, the size of the net and a dataset, performs exact smoothing over the initial evidence taken from the dataset. Take notice that the smoothing is done backwards in time, as opposed to forecasting.
Usage
exact_inference_backwards(dt, fit, obj_vars, ini, len, prov_ev)
Arguments
dt |
data.table object with the TS data |
fit |
bn.fit object |
obj_vars |
variables to be predicted. Should be in the oldest time step |
ini |
starting point in the dataset to smooth |
len |
length of the smoothing |
prov_ev |
variables to be provided as evidence in each forecasting step. Should be in the oldest time step |
Value
a list with the results of the inference backwards
[Package dbnR version 0.7.8 Index]