Prediction of the class of a new observation using discriminant analysis based on von Mises-Fisher distribution.
vmfda.pred(xnew, x, ina)
The new observation(s) (unit vector(s)) whose group is to be predicted.
A data matrix with unit vectors, i.e. directional data.
A vector indicating the groups of the data x.
Discriminant analysis assuming von Mises-Fisher distributions.
A vector with the predicted group of each new observation.
R implementation and documentation: Michail Tsagris email@example.com.
Tsagris M. and Alenazi A. (2019). Comparison of discriminant analysis methods on the sphere. Communications in Statistics: Case Studies, Data Analysis and Applications, 5(4), 467–491.
Morris J. E. and Laycock P. J. (1974). Discriminant analysis of directional data. Biometrika, 61(2): 335-341.
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