It estimates the parameters of the Wood bimodal distribution.
wood.mle(y)
A matrix containing two columns. The first one is the latitude and the second is the longitude, both expressed in degrees.
A list including:
A 5 x 3 matrix containing the 5 parameters, gamma, delta, alpha, beta and kappa along with their corresponding 95% confidence intervals all expressed in degrees.
The two axis of the modes of the distribution expressed in degrees.
A 3 x 3 matrix with the 3 unitvectors associated with the gamma and delta parameters.
The value of the log-likelihood.
The Wood distribution is fitted to some data and its parameters are estimated. It is a bimodal distribution which contains 5 parameters, just like the Kent distribution.
Wood A.T.A. (1982). A bimodal distribution on the sphere. Journal of the Royal Statistical Society, Series C, 31(1): 52-58.
# NOT RUN {
x <- rvmf(100, rnorm(3), 15)
x <- euclid.inv(x)
wood.mle(x)
# }
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