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sharpData (version 1.2)

Data Sharpening

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.

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Version

Install

install.packages('sharpData')

Monthly Downloads

185

Version

1.2

License

Unlimited

Maintainer

W.J. Braun

Last Published

August 19th, 2019

Functions in sharpData (1.2)

sharpiteration

Iterated Data Sharpening for Local Polynomial Regression
burnRate

Firebrand Burning Properties
whale

Whale data
LLmat

Local Linear Regression Matrix
CVsharp

Cross-Validation Bandwidth Selector for Local Polynomial Regression
MPG

Mileage Data
NWmono

Monotonized Nadaraya-Watson Regression
LLmono

Monotonized Local Linear Regression
LLsharpen

Data Sharpening for Local Linear Regression
NW.fit

Nadaraya-Watson Regression Estimation
LL.fit

Local linear Regression Estimation
NWmat

Smoother Matrix for Nadaraya-Watson Local Constant Regression