Tuning of the bandwidth parameter in the von Mises kernel | R Documentation |
Tuning of the bandwidth parameter in the von Mises kernel for circular data. Cross validation is used.
vmkde.tune(u, low = 0.1, up = 1, rads = TRUE)
u |
The data, a numerical vector. |
low |
The lower value of h to search. |
up |
The lower value of h to search. |
rads |
If the data are in radians this should be TRUE and FALSE otherwise. |
Tuning of the bandwidth parameter in the von Mises kernel for circula data via cross validation. The procedure is fast because an optimiser is used.
A vector including two elements:
Optimal h |
The best H found. |
cv |
The value of the maximised pseudo-likelihood. |
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr and Giorgos Athineou <gioathineou@gmail.com>.
Taylor C.C. (2008). Automatic bandwidth selection for circular density estimation. Computational Statistics & Data Analysis, 52(7), 3493–3500.
Wand M.P. and Jones M.C. (1994). Kernel smoothing. CrC Press.
vm.kde, vmfkde.tune, vmf.kde
u <- rvonmises(100, 2.4, 10, rads = TRUE)
vmkde.tune(u)
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