lplm: Local Linear Regression Methods for Conditional Mean...

In Rearrangement: Monotonize Point and Interval Functional Estimates by Rearrangement

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)

Example output

Loading required package: quantreg
Loading required package: SparseM

Attaching package: 'SparseM'

The following object is masked from 'package:base':

    backsolve

Loading required package: splines

Rearrangement documentation built on May 1, 2019, 11:29 p.m.