two-column matrix of left and right interval
endpoints for censored responses

degree

degree of local polynomial

h

bandwidth

niter

number of iterations

kernel

smoothing kernel to be used; default is "normal"; other
choices as in the function locpoly

gridsize

number of gridpoints; again as in locpoly

Value

A list consisting
of the explanatory variable x and the imputed responses y as well
as the estimate of sigma. Usually, one would apply locpoly with
a similar bandwidth to obtain the final fitted model.

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(ICE)
Loading required package: KernSmooth
KernSmooth 2.23 loaded
Copyright M. P. Wand 1997-2009
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ICE/iclocpoly.Rd_%03d_medium.png", width=480, height=480)
> ### Name: iclocpoly
> ### Title: Interval-Censored Local Polynomial Regression Estimation
> ### Aliases: iclocpoly
> ### Keywords: models
>
> ### ** Examples
>
> library(KernSmooth)
> data(motor.IC)
> estimate <- iclocpoly(x=motor.IC$V1, y.IC = cbind(motor.IC$y.L,
+ motor.IC$y.R), degree=0, h=1)
> plot(motor.IC$V1, motor.IC$V2)
> lines(locpoly(estimate$x, estimate$y, bandwidth=1, degree=0),col=4)
>
>
>
>
>
> dev.off()
null device
1
>