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.