non-parametric regression

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Description

To fit nonparametric regression model.

Usage

1
 lpsmooth(y,x, bw, sd.y, from, to, gridsize,conf.level=0.95)

Arguments

y,x

Two numerical vectors.

from,to,gridsize

start point, end point and size of a fine grid where the EDF will be evaluated.

bw

Smoothing parameter. Numeric or character value is allowed. If missing, adaptive (LSCV) bandwidth selector will be used.

sd.y

Standard deviation of y.

conf.level

Confidence level.

Author(s)

B. Wang bwang@southalabama.edu

Examples

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 x <- rnorm(100,34.5,1.5)
 e <- rnorm(100,0,2)
 y <- (x-32)^2 + e
 out <- lpsmooth(y,x)
 out
 plot(out, type='l', scb=TRUE)
 x0 <- seq(min(x),max(x),length=100)
 y0 <- (x0-32)^2
 lines(x0, y0, col=2)
 points(x, y, pch="*", col=4)