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 |
| DOI: | 10.32614/CRAN.package.sharpData |
| Author: | W. John Braun |
| Maintainer: | W.J. Braun <john.braun at ubc.ca> |
| License: | Unlimited |
| NeedsCompilation: | yes |
| CRAN checks: | sharpData results |
| Reference manual: | sharpData.html , 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 |
Please use the canonical form https://CRAN.R-project.org/package=sharpData to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.