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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 ubc.ca> |
| License: | Unlimited |
| NeedsCompilation: | yes |
| CRAN checks: | sharpData results |
| Reference manual: | sharpData.pdf |
| Package source: | sharpData_1.4.tar.gz |
| Windows binaries: | r-devel: sharpData_1.4.zip, r-release: sharpData_1.4.zip, r-oldrel: sharpData_1.4.zip |
| macOS binaries: | r-release (arm64): sharpData_1.4.tgz, r-oldrel (arm64): sharpData_1.4.tgz, r-release (x86_64): sharpData_1.4.tgz, r-oldrel (x86_64): sharpData_1.4.tgz |
| Old sources: | sharpData archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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