Package: sharpData 1.4

sharpData: 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.

Authors:W. John Braun <[email protected]>

sharpData_1.4.tar.gz
sharpData_1.4.zip(r-4.5)sharpData_1.4.zip(r-4.4)sharpData_1.4.zip(r-4.3)
sharpData_1.4.tgz(r-4.4-x86_64)sharpData_1.4.tgz(r-4.4-arm64)sharpData_1.4.tgz(r-4.3-x86_64)sharpData_1.4.tgz(r-4.3-arm64)
sharpData_1.4.tar.gz(r-4.5-noble)sharpData_1.4.tar.gz(r-4.4-noble)
sharpData.pdf |sharpData.html
sharpData/json (API)

# Install 'sharpData' in R:
install.packages('sharpData', repos = c('https://wjbraun.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5 exports 0.00 score 2 dependencies 212 downloads

Last updated 3 years agofrom:e0e336ee02. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-win-x86_64OKAug 23 2024
R-4.5-linux-x86_64OKAug 23 2024
R-4.4-win-x86_64OKAug 23 2024
R-4.4-mac-x86_64OKAug 23 2024
R-4.4-mac-aarch64OKAug 23 2024
R-4.3-win-x86_64OKAug 23 2024
R-4.3-mac-x86_64OKAug 23 2024
R-4.3-mac-aarch64OKAug 23 2024

Exports:CVsharpLLsharpenMonolpolyMonoMatsharpiteration

Dependencies:KernSmoothquadprog