klaR: predict.meclight – R documentation

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predict.meclight

Prediction of Minimal Error Classification

Classify multivariate observations in conjunction with meclight and lda.

## S3 method for class 'meclight'
predict(object, newdata,...)

`object`	Object of class `meclight`.
`newdata`	Data frame of cases to be classified or, if object has a formula, a data frame with columns of the same names as the variables used. A vector will be interpreted as a row vector.
`...`	currently ignored

Classify multivariate observations in conjunction with meclight and lda.

`class`	The estimated class (`factor`).
`posterior`	Posterior probabilities for the classes.

Roehl, M.C., Weihs, C., and Theis, W. (2002): Direct Minimization in Multivariate Classification. Computational Statistics, 17, 29-46.

data(iris)
meclight.obj <- meclight(Species ~ ., data = iris)
predict(meclight.obj, iris)

Classification and Visualization

v0.6-15

GPL-2 | GPL-3

Authors

Christian Roever, Nils Raabe, Karsten Luebke, Uwe Ligges, Gero Szepannek, Marc Zentgraf, David Meyer

Initial release

2020-02-18