Rfast2: mle.lda – R documentation

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mle.lda

Maximum likelihood linear discriminant analysis

Maximum likelihood linear discriminant analysis.

mle.lda(xnew, x, ina)

`xnew`	A numerical vector or a matrix with the new observations, continuous data.
`x`	A matrix with numerical data.
`ina`	A numerical vector or factor with consecutive numbers indicating the group to which each observation belongs to.

Maximum likelihood linear discriminant analysis is performed.

A vector with the predicted group of each observation in "xnew".

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr>

Kanti V. Mardia, John T. Kent and John M. Bibby (1979). Multivariate analysis. Academic Press, London.

x <- as.matrix(iris[, 1:4])
ina <- iris[, 5]
a <- mle.lda(x, x, ina)

A Collection of Efficient and Extremely Fast R Functions II

v0.0.9

GPL (>= 2.0)

Authors

Manos Papadakis, Michail Tsagris, Stefanos Fafalios and Marios Dimitriadis.

Initial release

2021-03-21