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predict.loclda

Localized Linear Discriminant Analysis (LocLDA)

Classifies new observations using parameters determined by the loclda-function.

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

`object`	Object of class `loclda`.
`newdata`	Data frame of cases to be classified.
`...`	Further arguments are ignored.

A list with components:

`class`	Vector (of class `factor`) of classifications.
`posterior`	Posterior probabilities for the classes. For details of computation see `loclda` (+ normalization so posterior-values add up to 1 for each observation).
`all.zero`	Vector (of class `integer`) indicating for which rows of `newdata` all corresponding posterior-values are < 1e-150 before normalization. Those observations are assigned to the class to whose (locally weighted) centroid they have the lowest euclidian distance.

data(B3)
x <- loclda(PHASEN ~ ., data = B3, subset = 1:80)
predict(x, B3[-(1:80),])

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