ibr: kernelSx – R documentation

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kernelSx

Evaluates the smoothing matrix at x*

Description

The function evaluates the matrix of design weights to predict the response at arbitrary locations x. This function is not intended to be used directly.

Usage

kernelSx(kernelx="g",X,Xetoile,bx)

Arguments

`kernelx`	Character string which allows to choose between gaussian kernel (`"g"`), Epanechnikov (`"e"`), uniform (`"u"`), quartic (`"q"`).
`X`	Matrix of explanatory variables, size n, p.
`Xetoile`	Matrix of new design points x* at which to predict the response variable, size n*, p.
`bx`	The vector of different bandwidths, length p.

Value

Returns the matrix denoted in the paper by Sx, n*, n.

Author(s)

Pierre-Andre Cornillon, Nicolas Hengartner and Eric Matzner-Lober.