mle.lda: Maximum likelihood linear discriminant analysis

In Rfast2: A Collection of Efficient and Extremely Fast R Functions II

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)

Rfast2 documentation built on Aug. 8, 2023, 1:11 a.m.