can you pls clarify
I see from
https://cran.r-project.org/web/packages/forecast/index.html
that your package is for univariate time series
Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling
can you pls clarify I see from https://cran.r-project.org/web/packages/forecast/index.html that your package is for univariate time series Methods and tools for displaying and analysing univariate time series forecasts including exponential smoothing via state space models and automatic ARIMA modelling
but in https://arxiv.org/pdf/1704.04110.pdf DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
it used as baseline however from https://docs.aws.amazon.com/sagemaker/latest/dg/deepar.html#deepar_best_practices
we see that sagemaker used for multivariate time series ?
then is your package can be used for multivariate time series ?