It estimates the parameters of the Wood bimodal distribution.

1 | ```
wood.mle(y)
``` |

`y` |
A matrix containing two columns. The first one is the latitude and the second is the longitude, both expressed in degrees. |

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.

A list including:

`info` |
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. |

`modes` |
The two axis of the modes of the distribution expressed in degrees. |

`unitvectors` |
A 3 x 3 matrix with the 3 unitvectors associated with the gamma and delta parameters. |

`loglik` |
The value of the log-likelihood. |

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@yahoo.gr> and Giorgos Athineou <athineou@csd.uoc.gr>

Wood A.T.A. (1982). A bimodal distribution on the sphere. Journal of the Royal Statistical Society, Series C, 31(1): 52-58.

1 2 3 | ```
x <- rvmf(100, rnorm(3), 15)
x <- euclid.inv(x)
wood.mle(x)
``` |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

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