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Last data update: 2014.03.03

R: Interval-Censored Local Linear Density Estimation

icllde

R Documentation

Interval-Censored Local Linear Density Estimation

Description

This is the local linear version of ickde.

Usage

icllde(I, h, f, m, n.iterations = 10, x1, xm, right.limit = 10000, kernel="gaussian")

Arguments

`I`	A matrix with two columns, consisting of left and right endpoints of the interval data
`h`	A scalar bandwidth
`f`	An initial estimate of the density at a sequence of grid points (optional)
`m`	The number of (equally-spaced) grid points at which the density is to be estimated
`n.iterations`	The maximum number of iterations allowed
`x1`	The minimum grid point (optional)
`xm`	The maximum grid point (optional)
`right.limit`	For right-censored data, the value to be used as an artificial right endpoint for the intervals
`kernel`	character argument indicated choice of kernel; current choices are "gaussian", "epanechnikov", "biweight"

Value

An object of class IC

Examples

     data(ICHemophiliac)
     estimate <- icllde(ICHemophiliac, m=200, h=.9)
     plot(estimate, type="l")

Results


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)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
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
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> 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/icllde.Rd_%03d_medium.png", width=480, height=480)
> ### Name: icllde
> ### Title: Interval-Censored Local Linear Density Estimation
> ### Aliases: icllde
> ### Keywords: models
> 
> ### ** Examples
> 
>      data(ICHemophiliac)
>      estimate <- icllde(ICHemophiliac, m=200, h=.9)
>      plot(estimate, type="l")
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>