ensembleAR: AR Ensemble and Predictive Distribution
In JuGross/ensAR: Autoregressive postprocessing methods for ensemble forecasts

A wrapper for sequential processing of the functions ar_ensemble and ar_preddistr.

1 2	ensembleAR(ens, obs_col, mem_col, skip = 0, train_ar = 90, train_crps = 30)

`ens`	A data frame with one observation column, at least one forecast column, and at least one additional column (e.g. date).
`obs_col`	The observation column.
`mem_col`	The column(s) of the forecast members(s).
`skip`	A number corresponding to the forecast ahead time (0 for ahead times not greater than 24 hours, 1 for ahead times greater than 24 hours and not greater than 48 hours, and so on).
`train_ar`	The length of the rolling training period used for fitting an autoregressive process.
`train_crps`	The length of the additional training period used for computing the predictive standard deviation.