Package: sharpData
Title: Data Sharpening
Version: 1.2
Author: W.J. Braun
Description: 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.    
Maintainer: W.J. Braun <john.braun@ubc.ca>
LazyLoad: true
LazyData: true
Depends: R (>= 2.0.1), KernSmooth, stats, quadprog
ZipData: no
License: Unlimited
NeedsCompilation: yes
Packaged: 2019-08-18 05:17:03 UTC; braun
Repository: CRAN
Date/Publication: 2019-08-19 18:50:09 UTC
Built: R 4.0.2; x86_64-w64-mingw32; 2020-08-02 07:48:59 UTC; windows
Archs: i386, x64
