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) <doi:10.1214/aos/1015957396>. 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: 1.2
Depends: R (≥ 2.0.1), KernSmooth, stats, quadprog
Published: 2019-08-19
Author: W.J. Braun
Maintainer: W.J. Braun <john.braun at ubc.ca>
License: Unlimited
NeedsCompilation: yes
CRAN checks: sharpData results

Downloads:

Reference manual: sharpData.pdf
Package source: sharpData_1.2.tar.gz
Windows binaries: r-devel: sharpData_1.2.zip, r-release: sharpData_1.2.zip, r-oldrel: sharpData_1.2.zip
OS X binaries: r-release: sharpData_1.2.tgz, r-oldrel: sharpData_1.2.tgz
Old sources: sharpData archive

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