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sharpData
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]
[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
Previous versions and publish date:
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Other R packages that sharpData depends,
imports, suggests or enhances
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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