lplm {Rearrangement} | R Documentation |
Local Linear Regression Methods for Conditional Mean Functions
Description
Implements the local nonparametric method, local linear regression estimator with box kernel (default), for conditional mean functions.
Usage
lplm(x, y, h, xx)
Arguments
x |
The conditioning covariate |
y |
The response variable |
h |
The bandwidth parameter |
xx |
The points at which the function is to be estimated |
Details
The function uses a box kernel.
Value
xx |
The design points at which the evaluation occurs |
fitted.values |
The estimated function values at these design points |
Author(s)
Wesley Graybill, Mingli Chen, Victor Chernozhukov, Ivan Fernandez-Val, Alfred Galichon
Examples
data(GrowthChart)
attach(GrowthChart)
ages <- unique(sort(age))
lplm.fit1 <- lplm(age,height,h=1,xx=ages)
detach(GrowthChart)
[Package Rearrangement version 2.1 Index]