Maximum likelihood linear discriminant analysis {Rfast2}

Maximum likelihood linear discriminant analysis

Description

Maximum likelihood linear discriminant analysis.

Usage

mle.lda(xnew, x, ina)

Arguments

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.

Details

Maximum likelihood linear discriminant analysis is performed.

Value

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

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail].

References

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

See Also

fisher.da, reg.mle.lda, big.knn, weibull.nb

Examples

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