klaR (version 0.6-15)

predict.loclda: Localized Linear Discriminant Analysis (LocLDA)

Description

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

Usage

# S3 method for 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.

See Also

loclda

Examples

# NOT RUN {
data(B3)
x <- loclda(PHASEN ~ ., data = B3, subset = 1:80)
predict(x, B3[-(1:80),])
# }