Description Usage Arguments Details Value Author(s) References See Also
Performs a phase-randomization bootstrap estimate of the null hypothesis of independent time series
1 | wmr.boot(w, smoothing = 1, reps = 1000, mr.func = "wmr")
|
w |
an object such as returned by |
smoothing |
degree of smoothing; larger values give greater smoothing |
reps |
number of repetitions |
mr.func |
a function taking a "mvcwt" object to be applied to each trial |
The phases are randomized reps
times for each combination of input
variable and scale. This package depends heavily on the dopar
function in the foreach
package. If you do not have a lot of cores
available to you, you may need to let this run overnight.
an object of class "mvcwt" suitable for use with
contour.mvcwt
.
Timothy H. Keitt
Keitt, T. H. 2008. Coherent ecological dynamics induced by large-scale disturbance. Nature 454:331-4. doi:10.1038/nature06935.
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