mda: predict.bruto – R documentation

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mda

predict.bruto

Predict method for BRUTO Objects

Description

Predicted values based on ‘bruto’ additive spline models which are fit by adaptive backfitting.

Usage

## S3 method for class 'bruto'
predict(object, newdata, type=c("fitted", "terms"), ...)

Arguments

`object`	a fitted bruto object
`newdata`	values at which predictions are to be made.
`type`	if type is `"fitted"`, the fitted values are returned. If type is `"terms"`, a list of fitted terms is returned, each with an `x` and `y` component. These can be used to show the fitted functions.
`...`	further arguments to be passed to or from methods.

Value

Either a fit matrix or a list of fitted terms.

Examples

data(trees)
fit1 <- bruto(trees[,-3], trees[3])
fitted.terms <- predict(fit1, as.matrix(trees[,-3]), type = "terms")
par(mfrow=c(1,2), pty="s")
for(tt in fitted.terms) plot(tt, type="l")

mda

Mixture and Flexible Discriminant Analysis

v0.5-2

GPL-2

Authors

S original by Trevor Hastie & Robert Tibshirani. Original R port by Friedrich Leisch, Kurt Hornik and Brian D. Ripley. Balasubramanian Narasimhan has contributed to the upgrading of the code.

Initial release

2020-06-26