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 |
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 |
macOS binaries: | r-release: sharpData_1.2.tgz, r-oldrel: sharpData_1.2.tgz |
Old sources: | sharpData archive |
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