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.


Reference manual

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install.packages("sharpData")

1.4 by W.J. Braun, 6 years ago


Browse source code at https://github.com/cran/sharpData


Authors: W. John Braun <john.braun@ubc.ca>


Documentation:   PDF Manual  


Unlimited license


Depends on KernSmooth, stats, quadprog


See at CRAN