For discussions related to modeling, machine learning and deep learning. Related packages include caret
, modelr
, yardstick
, rsample
, parsnip
, tensorflow
, keras
, cloudml
, and tfestimators
.
the time series model (which doesn't have periodic component) can be decomposed to
Y = T + S + R
Y = T.S.R
Y = T.S + R
Y = T + S.R (T = trend, S = Seasonal, R = Random)
But forecast package gives only additive and multiplicative models but not the combination
I want to try all 4 combinations and take the best fit. How can I do it and compare ?