predict.loclda: Localized Linear Discriminant Analysis (LocLDA)

Description Usage Arguments Value Author(s) See Also Examples

View source: R/loclda.R

Description

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

Usage

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## 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 < 1e-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 ([email protected]) and Karsten Luebke ([email protected])

See Also

loclda

Examples

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

klaR documentation built on March 19, 2018, 5:03 p.m.