icllde: Interval-Censored Local Linear Density Estimation

In ICE: Iterated Conditional Expectation

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")

ICE documentation built on May 29, 2017, 4:15 p.m.

Interval-Censored Kernel Density Estimation

ICE index

Interval-Censored Local Polynomial Regression Estimation