Calculate the autocorrelation of the observations based on their timestamps, with interpolation (based on a specified method) if necessary.
temp_autocor(obs, times, interp_method = forecast::na.interp, ...)
obs | the time series of |
---|---|
times |
|
interp_method |
|
... | further arguments to be passed to acf |
Autocorrelation of the observation vector.