sharpData: Data Sharpening

Functions and data sets inspired by data sharpening - data perturbation to achieve improved performance in nonparametric estimation, as described in Choi, E., Hall, P. and Rousson, V. (2000). Capabilities for enhanced local linear regression function and derivative estimation are included, as well as an asymptotically correct iterated data sharpening estimator for any degree of local polynomial regression estimation. A cross-validation-based bandwidth selector is included which, in concert with the iterated sharpener, will often provide superior performance, according to a median integrated squared error criterion. Sample data sets are provided to illustrate function usage.

Version: 1.4
Depends: R (≥ 3.5.0), KernSmooth, stats, quadprog
Published: 2021-03-30
Author: W. John Braun
Maintainer: W.J. Braun <john.braun at>
License: Unlimited
NeedsCompilation: yes
CRAN checks: sharpData results


Reference manual: sharpData.pdf
Package source: sharpData_1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: sharpData_1.4.tgz, r-oldrel: sharpData_1.4.tgz
Old sources: sharpData archive


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