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
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"