predict.loclda: Localized Linear Discriminant Analysis (LocLDA)

In klaR: Classification and Visualization

Localized Linear Discriminant Analysis (LocLDA)

Description

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

Usage

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

Arguments

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

Value

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 < 10^{-150} before normalization. Those observations are assigned to the class to whose (locally weighted) centroid they have the lowest euclidian distance.

Author(s)

Marc Zentgraf ([e-mail]) and Karsten Luebke ([e-mail])

See Also

loclda

Examples

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

klaR documentation built on March 31, 2023, 3:03 p.m.