DeconWK-package: Deconvolution by Weighted Kernels

In DeconWK: Deconvolution by Weighted Kernels

Description

This package contains code for density deconvolution using weighted kernel estimators. Type ‘citation(“DeconWK”)’ for details of the implemented methods.

Details

The main functions are:

w.hat:	Calculates the weights for density deconvolution using weighted kernel estimators
w.hat.mv:	Calculates the weights for density deconvolution using bivariate weighted kernel estimators
wkde:	Calculates a weighted kernel density estimate
wkde.2d:	Calculates a bivariate weighted kernel density estimates
decon.f:	Calculates a classical deconvolution estimate

Author(s)

Authors: Martin L Hazelton and Berwin A Turlach

Maintainer: Berwin A Turlach [e-mail]

References

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.

DeconWK documentation built on May 2, 2019, 6:08 p.m.