ICGG: Gentleman and Geyer's Data

In ICE: Iterated Conditional Expectation

Description

Gentleman and Geyer's Data.

Usage

data(ICGG)

Format

A data frame with 6 observations on the following 2 variables.

left

the left interval endpoint

right

the right interval endpoint

Source

Gentleman, R. and Geyer, C. (1994) Maximum Likelihood for Interval Censored Data: Consistency and Computation. Biometrika.

Examples

 library(KernSmooth)
 tmp <- apply(ICGG, 1, mean)  # tmp now contains the interval midpoints
 h <- dpik(tmp)               # direct-plug-in bandwidth selected for
                              # interval midpoints
 par(mfrow=c(1,2))
 estimate <- ickde(ICGG, h=h, m=200)
 plot(estimate, type="l", main="One fixed point")
 estimate <- ickde(ICGG, f=c(rep(1,60),rep(0,90),rep(1,60)), h=.1)
 plot(estimate, type="l", main="Another fixed point")

ICE documentation built on May 2, 2019, 3:03 a.m.