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sharpData  

Data Sharpening
View on CRAN: Click here


Download and install sharpData package within the R console
Install from CRAN:
install.packages("sharpData")

Install from Github:
library("remotes")
install_github("cran/sharpData")

Install by package version:
library("remotes")
install_version("sharpData", "1.4")



Attach the package and use:
library("sharpData")
Maintained by
W.J. Braun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-02
Latest Update: 2021-03-30
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). 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.
How to cite:
W.J. Braun (2019). sharpData: Data Sharpening. R package version 1.4, https://cran.r-project.org/web/packages/sharpData. Accessed 18 Feb. 2025.
Previous versions and publish date:
1.1 (2019-08-02 12:50), 1.2 (2019-08-19 20:50), 1.3 (2021-01-16 03:10)
Other packages that cited sharpData R package
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Other R packages that sharpData depends, imports, suggests or enhances
Complete documentation for sharpData
Functions, R codes and Examples using the sharpData R package
Some associated functions: CVsharp . LLsharpen . MPG . MonoMat . Monolpoly . burnRate . sharpiteration . whale . 
Some associated R codes: CVsharp.R . LLsharpen.R . MonoMat.R . Monolpoly.R . sharpiteration.R .  Full sharpData package functions and examples
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