Description Usage Arguments Value See Also
Compute autocorrelation over a sliding window by a least squares approach
1 2 | window_ar.ols(X, windowsize = length(X)/2,
demean = FALSE)
|
X |
a numeric containing evenly sampled values from a time series |
windowsize |
the size of the sliding time window (in # of pts) used to compute the statistic. |
a numeric of size length(X)-windowsize of values of the statistic calculated in the sliding window.
warningtrend, ar.ols
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