bootKDE: Density estimation for data with rounding errors

In bda: Binned Data Analysis

Density estimation for data with rounding errors

Description

To estimate density function based on data with rounding errors.

Usage

 bootkde(x,freq,a,b,from, to, gridsize=512L,method='boot')

Arguments

x, freq	raw data if 'freq' missing, otherwise as distinct values with frequencies.
a, b	the lower and upper bounds of the rounding error.
from, to, gridsize	start point, end point and size of a fine grid where the distribution will be evaluated.
method	type estimate: "mle" or "Berkson", or "boot" (default).

Value

y	Estimated values of the smooth function over a fine grid.
x	grid points where the smoothed function are evaluated.
pars	return 'bw' for Berkson method, or return the mean and SD for MLE method

References

Wang, B and Wertelecki, W, (2013) Computational Statistics and Data Analysis, 65: 4-12.

Examples

 #data(ofc)
 #x0 = round(ofc$Head)
 x0 = round(rnorm(100,34.5,1.6))
 fx1 = bootkde(x0,a=-0.5,b=0.5,method="Berkson")
 

bda documentation built on Sept. 11, 2024, 9:01 p.m.