coef.fda: Produce coefficients for an fda or mda object

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

a method for coef for extracting the canonical coefficients from an fda or mda object

Usage

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## S3 method for class 'fda'
coef(object, ...)

Arguments

object

an fda or mda object.

...

not relevant

Details

See the references for details.

Value

A coefficient matrix

Author(s)

Trevor Hastie and Robert Tibshirani

References

“Flexible Disriminant Analysis by Optimal Scoring” by Hastie, Tibshirani and Buja, 1994, JASA, 1255-1270.

“Penalized Discriminant Analysis” by Hastie, Buja and Tibshirani, 1995, Annals of Statistics, 73-102.

“Elements of Statisical Learning - Data Mining, Inference and Prediction” (2nd edition, Chapter 12) by Hastie, Tibshirani and Friedman, 2009, Springer

See Also

predict.fda, plot.fda, mars, bruto, polyreg, softmax, confusion,

Examples

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data(iris)
irisfit <- fda(Species ~ ., data = iris)
coef(irisfit)
mfit=mda(Species~.,data=iris,subclass=2)
coef(mfit)


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