Description Usage Arguments Details Value Author(s) References Examples
Calculates the classical deconvolution density estimate given in equation (4) of Hazelton and Turlach (2009).
1 |
y |
the observed values. |
eval |
grid on which the deconvolution density estimate be calculated. |
h |
the smoothing parameter to be used. |
sigma |
the standard deviation of the contaminating (normal) distribution. |
If "eval"
is not specified, it defaults to
seq(min(y)-sd(y), max(y)+sd(y), length=100)
.
If "h"
is not specified, the plug-in bandwidth selector developed
by Delaigle and Gijbels (2004) is used.
A matrix with two columns named "x"
and "y"
; the first
column contains the evaluation grid, "eval"
, and the second
column the deconvolution density estimate.
Martin L Hazelton m.hazelton@massey.ac.nz
Delaigle, A. and Gijbels, I. (2004). Practical bandwidth selection in deconvolution kernel density estimation. Computational Statistics & Data Analysis 45(2): 249–267.
Hazelton, M.L. and Turlach, B.A. (2009). Nonparametric density deconvolution by weighted kernel estimators, Statistics and Computing 19(3): 217–228. http://dx.doi.org/10.1007/s11222-008-9086-7.
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