The function returns the parameters of a set of automatically fitted ARIMA models, including non-seasonal and seasonal orders and drift. Based on multiple application of the arimapar function.
timeseries: A vector, matrix, or data frame which contains a set of time series used for fitting ARIMA models. Each column corresponds to one time series.
na.action: A function for treating missing values in timeseries. The default function is na.omit, which omits any missing values found in timeseries.
xreg: A vector, matrix, data frame or times series of external regressors used for fitting all the ARIMA models. It must have the same number of rows as TimeSeries. Ignored if NULL.
Returns
A list of numeric vectors, each one giving the number of AR, MA, seasonal AR and seasonal MA coefficients, plus the period and the number of non-seasonal and seasonal differences of the automatically fitted ARIMA models. It is also presented the value of the fitted drift constants.