# Deconvolution Estimation in Measurement Error Models: The R Package decon.

@article{Wang2011DeconvolutionEI, title={Deconvolution Estimation in Measurement Error Models: The R Package decon.}, author={Xiao-Feng Wang and Bin Wang}, journal={Journal of statistical software}, year={2011}, volume={39 10} }

Data from many scientific areas often come with measurement error. Density or distribution function estimation from contaminated data and nonparametric regression with errors-in-variables are two important topics in measurement error models. In this paper, we present a new software package decon for R, which contains a collection of functions that use the deconvolution kernel methods to deal with the measurement error problems. The functions allow the errors to be either homoscedastic or…

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